Alexandre Perera Lluna

Bio

Welcome to my site. My name is Alexandre Perera Lluna, sometimes Alex Perera. I hold a degree in Physics, a second degree in Electrical Engineering, and a PhD in Physics from the University of Barcelona. I currently lead the B2SLab, which is part of the Institut de Recerca i Innovació en Salut (IRIS), formerly the Research Center for Biomedical Engineering (CREB) at the Universitat Politècnica de Catalunya (Polytechnic University of Catalonia, UPC), located in the beautiful city of Barcelona. It is a fantastic place for research, culture, and leisure—I truly love this city.

At B2SLab, we integrate Data Science, Bioinformatics, and Bioengineering. My main interests include predicting disease trajectories using Transformer and Linear models, as well as applying machine learning to Rare Diseases. I also have experience in data integration, data fusion, metabolomics, functional enrichment, and bioengineering. Since 2022, I have been a full professor at the Universitat Politècnica de Catalunya.

In 2019, I was appointed as the head of the Research Center for Biomedical Engineering at UPC (CREB-UPC, Centre de Recerca en Enginyeria Biomèdica).
I also coordinate a fascinating project named Xartec Salut.

Contact

you can email me at alexandre.perera you guess whatupc.edu

Teaching

I teach several subjects, including:

Introduction to Bioinformatics.
Data Mining for Biomedical Databases.
Scientific computing.
Machine learning.
Embedded and real time computing.

Ongoing PhD Thesis

Former PhD Thesis

I have proudly advised several PhD students who have successfully defended their dissertations:

Helena Brunel. Genetic association analysis of complex diseases through information theoretic metrics and linear pleiotropy. Defended on 14/11/2013 at Universitat Politècnica de catalunya
Jorge Alberto Jaramillo Garzón. Protein function prediction with semi-supervised classification based on evolutionary multi-objective optimization, Defended on 25/11/2013 at the Universidad Nacional de Colombia. This thesis was coadvised with Dr. German Castellanos from the same university.
Andrey Ziyatdinov, Biomimetic Setup for Chemosensor-Based Machine olfaction. Defended on 4/12/2014 at Universitat Politècnica de Catalunya.
Francesc Fernandez, Machine Learning Methods for the automated analysis of metabolomic data. Defended on 30/10/2014 at Universitat Politècnica de Catalunya.
Erola Pairó,Detection of Transcription Factor Binding Sites by Means of Multivariate Signal Processing Techniques. Defended on 21/07/2015 at Universitat de Barcelona. This thesis was coadvised with Dr. Santiago Marco from the same university.
Joan Maynou, Computational representation and discovery of transcription factor binding sites. Defended on 01/02/2016 at Universitat Politècnica de Catalunya.
Xavier Domingo, Signal processing in Metabolomics”, Defended on July 2016. Coadvised with Prof. Jesús Brezmes, Universitat Rovira i Virgili.
Giovana Gavidia,Study of Longitudinal Neurodegeneration Biomarkers to Support the Early Diagnosis of Alzheimer’s Disease. Defended on 20/03/2018 at Universitat Politècnica de Catalunya.
Samir Kanaan.Multiview pattern recognition methods for data visualization, embedding and clustering. Defended on 22/09/2017 at Universitat Politècnica de Catalunya.
Sergio Picart, “Statistical Normalisation of Network Propagation Methods for Computational biology” , by Sergio Picart, 23/7,2020. The defense was performed online due to the sars-cov-2 pandemic and published in here.
Angela López del Río, “Development And Improvement Of Computer Aided Drug Development Techniques Using Deep Learning Algorithms”, defended on June 23rd, 2021. currently Post-Doc Data Scientist at Boehringer Ingelheim.

Publications

You can also check my journal papers, available through:

A possibly incomplete and malformatted list of publications is included below:

2025

1. Lipidomic analysis reveals metabolism alteration associated with subclinical carotid atherosclerosis in type 2 diabetes
Barranco, M. and Rossell, J. and Alonso, N. and Weber, R. and Ortega, E. and Lloyd, G. and Hern’andez, M. and Yanes, ’O. and Capellades, J. and Winder, C. and Junza, A. and Falguera, M. and Franch, J. and Dunn, W. and Perera, A. and Castelblanco, E. and Mauricio Puente, D’idac
Cardiovascular diabetology, Vol. 24, Issue article 152 (2025)
[DOI]

2. Colorectal adenoma subtypes exhibit signature molecular profiles: unique insights into the microenvironment of advanced precancerous lesions for early detection applications
Mattia, F. and Higareda, J. and Canal, P. and Bertossi, A. and Perera, A. and Herbert, M. and Kruusmaa, K.
Cancers (Basel), Vol. 17, Issue 4, article 654 (2025)
[DOI]

2024

3. Characterisation of type 2 diabetes subgroups at diagnosis: the COPERNICAN prospective observational cohort study protocol
Fernandez, B. and Vlacho, B. and Canudas, A. and Ortega, M. and Granado, M. and Perera, A. and Boluda, A. and El Khattabi, Y. and Franch, J. and Mauricio, D.
BMJ open, Vol. 14, Issue 12, article e083825 (2024)
[DOI]

4. Mediterranean diet is a predictor of progression of subclinical atherosclerosis in a mediterranean population: the ILERVAS prospective cohort study
Rojo-L’opez, M. and Bermudez, M. and Castro, E. and Farras, C. and Torres, G. and Pamplona, R. and Lecube, A. and Valdivieso, J. and Fern’andez, E. and Julve, J. and Castelblanco, E. and Alonso, N. and Antentas, M. and Barranco, M. and Perera, A. and Franch, J. and Granado-Casas, M. and Mauricio Puente, D’idac
Nutrients, Vol. 16, Issue 21, article 3607 (2024)
[DOI]

5. Cerebrospinal fluid homovanillic and 5-hydroxyindoleacetic acids in a large pediatric population; establishment of reference intervals and impact of disease and medication
Rodr’iguez, H. and Ormaz’abal, A. and Casado, M. and Arias, A. and Oliva, C. and Barranco, M. and Casadevall, R. and Garc’ia, F. and Nascimento, A. and Ortez, C. and Natera, D. and Armangu’e, T. and O’Callaghan, M. and Juli’a, N. and Darling, A. and Ortigoza, J. and Fons, C. and Garc’ia-Cazorla, ’A. and Perera, A. and Artuch, R.
Clinical chemistry, Vol. 70, Issue 12 (2024)
[DOI]

6. Factors affecting disease progression in individuals with heterozygous COL4A3/COL4A4 pathogenic variants
Melissa, T. and Furlano, M. and Pybus, M. and Mart’inez, V. and Gom’a, E. and Gal’an, I. and Le’on Carrasco, R. and Soler, M. and Fayos de Ariz’on, L. and Perera, A. and Ars, E. and Torra, R.
Nephrology dialysis transplantation, Vol. 39, Issue Supplement_1 (2024)
[DOI]

7. Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus
Barranco, M. and Alonso, N. and Weber, R. and Lloyd, G. and Hern’andez, M. and Yanes, ’O. and Capellades, J. and Jankevics, A. and Winder, C. and Falguera, M. and Franch, J. and Dunn, W. and Perera, A. and Castelblanco, E. and Mauricio Puente, D’idac
Cardiovascular diabetology, Vol. 23, Issue article 109 (2024)
[DOI]

8. Use of enzymatically converted cell-free DNA (cfDNA) data for copy number variation-linked fragmentation analysis allows for early colorectal cancer detection
Canal, P. and Perera, A.
International journal of molecular sciences, Vol. 25, Issue 6, article 3502 (2024)
[DOI]

9. Unraveling athletic performance: transcriptomics and external load monitoring in handball competition
Ezquerra, P. and Mallol, M. and Font, R. and Tremps, V. and Guti’errez, J. and Rodas, G. and Perera, A. and Soria, J.
PloS one, Vol. 19, Issue e0299556 (2024)
[DOI]

2023

10. Artificial intelligence: a new field of knowledge for nephrologists?
Fayos de Ariz’on, L. and Viera, E. and Melissa, T. and Perera, A. and Nicolau, A. and Furlano, M. and Torra, R.
Clinical Kidney Journal, Vol. 16, Issue 12 (2023)
[DOI]

11. Intrinsic functional brain connectivity changes following aerobic exercise, computerized cognitive training, and their combination in physically inactive healthy late-middle-aged adults: the Projecte Moviment
Dimitriadis, S. and Castells, A. and Roig, F. and Dacosta, R. and Lamonja, N. and Toran, P. and Garc’ia, A. and Monte, G. and Stillman, C. and Perera, A. and Mataro-Serrat, M.
GeroScience, Vol. 46, Issue (2023)
[DOI]

12. Home monitoring for older singles: A gas sensor array system
Mar’in, D. and Llano, J. and Haddi, Z. and Perera, A. and Fonollosa, J.
Sensors and actuators B. Chemical, Vol. 393, Issue article 134036 (2023)
[DOI]

13. EpiGe: A machine-learning strategy for rapid classification of medulloblastoma using PCR-based methyl-genotyping
G’omez S. and Llano, J. and Garc’ia, M. and Garrido, A. and Sunol, M. and Lemos, I. and P’erez, S. and Salvador, N. and Gene, N. and Arnau, R. and Santa Mar’ia, V. and Perez, M. and Perera, A. and Mora, J. and Morales, A. and Lavarino, C.
iScience, Vol. 26, Issue 9, article 107598 (2023)
[DOI]

14. Development of an expert model for the diagnosis of inherited kidney diseases
Fayos de Ariz’on, L. and Viera, E. and Furlano, M. and Vallverdu, M. and Melissa, T. and Guirado, L. and Le’on Carrasco, R. and Perera, A. and Torra, R.
Nephrology dialysis transplantation, Vol. 38, Issue Supplement_1 (2023)
[DOI]

2022

15. Mapping layperson medical terminology into the Human Phenotype Ontology using neural machine translation models
Manzini, E. and Garrido, J. and Fonollosa, J. and Perera, A.
Expert systems with applications, Vol. 204, Issue C (2022)
[DOI]

16. Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
Manzini, E. and Vlacho, B. and Franch, J. and Escudero, J. and G’enova, A. and Reixach-Espaulella, E. and Andr’es, E. and Pizarro, I. and Portero, J. and Mauricio Puente, D’idac and Perera, A.
Journal of biomedical informatics, Vol. 135, Issue Article 104218 (2022)
[DOI]

17. Data processing and analysis in mass spectrometry-based metabolomics
Peralbo, ’A. and Sola, P. and Perera, A. and Chicano, E.
Methods in Molecular Biology, Vol. 2571, Issue (2022)
[DOI]

18. #CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism
Hern’andez-Lara, A. and Abubakr, B. and Sanchez-Rebull, M. and Perera, A.
Tourism Management Perspectives, Vol. 41, Issue (2022)
[DOI]

2021

19. How did the COVID-19 lockdown affect children and adolescent’s well-being: Spanish parents, children, and adolescents respond
Ajanovic, S. and Garrido, J. and Baro, B. and Balanza, N. and Varo, R. and Millat-Mart’inez, P. and Arias, S. and Fonollosa, J. and Perera, A. and Jordan, I. and Munoz-Almagro, C. and Bonet-Carn’e, E. and Crosas-Soler, A. and Via, E. and Nafria, B. and Garc’ia-Garc’ia, J. and Bassat, Q.
Frontiers in public health, Vol. 9, Issue 745062 (2021)
[DOI]

20. mWISE: an algorithm for context-based annotation of liquid chromatography-mass spectrometry features through diffusion in graphs
Barranco, M. and Sola, P. and Picart, S. and Kanaan-Izquierdo, S. and Fonollosa, J. and Perera, A.
Analytical chemistry, Vol. 93, Issue 31 (2021)
[DOI]

21. Accurate early-stage colorectal cancer detection through analysis of cell-free circulating tumor DNA (ctDNA) methylation patterns
Canal, P. and Perera, A.
Journal of clinical oncology, Vol. 39, Issue 15_suppl (2021)
[DOI]

22. Global collaborative social network (Share4Rare) to promote citizen science in rare disease research: Platform development study
Radu, R. and Hern’andez, S. and Borrega, O. and Palmeri, A. and Athanasiou, D. and Brooke, N. and Chap’i, I. and Le Corvec, A. and Guglieri, M. and Perera, A. and Garrido, J. and Ryll, B. and Nafria, B.
JMIR formative research, Vol. 5, Issue 3 (2021)
[DOI]

23. MMP1 drives tumor progression in large cell carcinoma of the lung through fibroblast senescence
Ikemori, R. and Llorente, A. and Maqueda, M. and D’avalos, A. and Perera, A. and Reguart, N. and Quiroz, L. and Alcaraz Casademunt, Jordi
Cancer letters, Vol. 507, Issue (2021)
[DOI]

24. Game learning analytics of instant messaging and online discussion forums in higher education
Hern’andez-Lara, A. and Perera, A. and Serradell-L’opez, E.
Education and Training, Vol. 63, Issue 9 (2021)
[DOI]

25. Balancing data on deep learning-based proteochemometric activity classification
Lopez, A. and Picart, S. and Perera, A.
Journal of chemical information and modeling, Vol. 61, Issue 4 (2021)
[DOI]

2020

26. MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms
Mar’in-Lla’o, Josep, J. and Mubeen, S. and Perera, A. and Hofmann-Apitius, M. and Picart, S. and Domingo-Fern’andez, D.
Bioinformatics, Vol. , Issue btaa1069 (2020)
[DOI]

27. The effect of statistical normalisation on network propagation scores
Picart, S. and Thompson, W. and Buil, A. and Perera, A.
Bioinformatics, Vol. , Issue btaa896 (2020)
[DOI]

28. Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
Lopez, A. and Martin, M. and Perera, A.
Scientific reports, Vol. 10, Issue (2020)
[DOI]

29. Open chromatin region (OCR) based model predicts advanced adenoma in plasma cell-free DNA whole-genome bisulfite sequencing data
Canal, P. and Perera, A.
Annals of oncology, Vol. 31, Issue S4 (2020)
[DOI]

30. Eye vergence responses during an attention task in adults with ADHD and clinical controls
Jim’enez, E. and Avella, C. and Kustow, S. and Cubbin, S. and Corrales, M. and Richarte, V. and Esposito, F. and Morata, I. and Perera, A. and Varela, P.
Journal of attention disorders, Vol. , Issue (2020)
[DOI]

2019

31. Benchmarking network propagation methods for disease gene identification
Picart, S. and Barrett, S. and Will’e, D. and Perera, A. and Gutteridge, A. and Dessailly, B.
PLoS computational biology, Vol. 15, Issue 9 (2019)
[DOI]

32. Effects and mechanisms of cognitive, aerobic exercise, and combined training on cognition, health, and brain outcomes in physically inactive older adults: the projecte moviment protocol
Castells, A. and Roig, F. and Lamonja, N. and Perera, A.
Frontiers in aging neuroscience, Vol. 11, Issue (2019)
[DOI]

33. Heart failure with preserved ejection fraction infrequently evolves toward a reduced phenotype in long-term survivors: a long-term prospective longitudinal study
Lupon, J. and Gavidia, G. and de Antonio-Ferrer, M. and Perera, A. and L’opez-Ayerbe, J. and Domingo-Teixidor, M. and Nunez, J. and Zamora, E. and Moliner, P. and santiago-vacas, E. and Santemases, J. and Bay’es-Genis, A.
Circulation-Heart Failure, Vol. 12, Issue e005652 (2019)
[DOI]

34. Amitriptyline at an environmentally relevant concentration alters the profile of metabolites beyond monoamines in gilt-head bream
Ziarrusta, H. and Ribbenstedt, A. and Mijangos, L. and Picart, S. and Perera, A. and Prieto, A. and Izagirre, U.
Environmental toxicology and chemistry, Vol. , Issue (2019)
[DOI]

35. Evaluation of cross-validation strategies in sequence-based binding prediction using deep learning
Lopez, A. and Nonell, A. and Vidal, D. and Perera, A.
Journal of chemical information and modeling, Vol. 58, Issue 4 (2019)
[DOI]

2018

36. Multiview: a software package for multiview pattern recognition methods
Kanaan-Izquierdo, S. and Ziyatdinov, A. and Burgueno, M. and Perera, A.
Bioinformatics, Vol. , Issue bty1039 (2018)
[DOI]

37. FELLA: an R package to enrich metabolomics data
Picart, S. and Fernandez-Albert, F. and Vinaixa, M. and Yanes, ’O. and Perera, A.
BMC bioinformatics, Vol. 19, Issue 1 (2018)
[DOI]

38. Dynamic trajectories of left ventricular ejection fraction in heart failure
Lupon, J. and Gavidia, G. and Ferrer, E. and de Antonio-Ferrer, M. and Perera, A. and D’iaz, P.
Journal of the American College of Cardiology, Vol. 72, Issue (2018)
[DOI]

39. Non-targeted metabolomics reveals alterations in liver and plasma of gilt-head bream exposed to oxybenzone
Ziarrusta, H. and Mijangos, L. and Picart, S. and Irazola, M. and Perera, A.
Chemosphere, Vol. 211, Issue (2018)
[DOI]

40. Applying learning analytics to students’ interaction in business simulation games. The usefulness of learning analytics to know what students really learn
Hern’andez-Lara, A. and Perera, A. and Serradell-L’opez, E.
Computers in human behavior, Vol. 92, Issue (2018)
[DOI]

41.
Caminal, P. and Sola, F. and Gomis, P. and Guasch, E. and Perera, A. and Mont, L.
European journal of applied physiology, Vol. 118, Issue 3 (2018)
[DOI]

42. diffuStats: an R package to compute diffusion-based scores on biological networks
Picart, S. and Thompson, W. and Buil Demur, A. and Perera, A.
Bioinformatics, Vol. 34, Issue 3 (2018)
[DOI]

43. Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
Varela, P. and Esposito, F. and Morata, I. and Capdevila, A. and Perera, A.
Journal of attention disorders, Vol. , Issue (2018)
[DOI]

44. Multiview and multifeature spectral clustering using common eigenvectors
Kanaan-Izquierdo, S. and Ziyatdinov, A. and Perera, A.
Pattern recognition letters, Vol. 102, Issue (2018)
[DOI]

2017

45. Null diffusion-based enrichment for metabolomics data
Picart, S. and Fernandez, F. and Vinaixa, M. and Rodr’iguez, M.A. and Aivio, S. and Stracker, T. and Yanes Torrado, ’Oscar and Perera, A.
PloS one, Vol. 12, Issue (2017)
[DOI]

46. Assessment of heart rate variability during an endurance mountain trail race by multi-scale entropy analysis
Vallverdu, M. and Ruiz, A. and Roca, E. and Caminal, P. and Rodr’iguez, F. and Irurtia-Amigo, A. and Perera, A.
Entropy (Basel), Vol. 19, Issue 12 (2017)
[DOI]

47. Affected pathways and transcriptional regulators in gene expression response to an ultra-marathon trail: Global and independent activity approaches
Maqueda, M. and Roca, E. and Brotons, D. and Soria, J. and Perera, A.
PloS one, Vol. 12, Issue 10 (2017)
[DOI]

48. Baitmet, a computational approach for GC-MS library-driven metabolite profiling
Domingo, X. and Brezmes, J. and Venturini, G. and Viv’o-Truyols, G. and Perera, A. and Vinaixa, M.
Metabolomics, Vol. 13, Issue 93 (2017)
[DOI]

49. Early prediction of Alzheimer’s disease using null longitudinal model-based classifiers
Gavidia, G. and Kanaan-Izquierdo, S. and Mataro-Serrat, M. and Perera, A.
PloS one, Vol. 12, Issue 1 (2017)
[DOI]

2016

50. The Central role of KNG1 gene as a genetic determinant of coagulation pathway-related traits: Exploring metaphenotypes
Brunel, H. and Massanet, R. and Martinez, A. and Ziyatdinov, A. and Martin-Fernandez, L. and Souto, J. and Perera, A. and Soria, J.
PloS one, Vol. 11, Issue 12 (2016)
[DOI]

51. Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography-mass spectrometry-based metabolomics signals by multivariate methods
Domingo, X. and Perera, A. and Brezmes, J.
Journal of chromatography A, Vol. 1474, Issue (2016)
[DOI]

52. eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics
Domingo, X. and Brezmes, J. and Vinaixa, M. and Samino, S. and Ramirez, N. and Ramon, M. and Lerin, C. and D’iaz, M. and Ibanez, L. and Correig, X. and Perera, A. and Yanes, ’O.
Analytical chemistry, Vol. 88, Issue 19 (2016)
[DOI]

53. DNA methylation profiling unveils TGF-ss hyperresponse in tumor associated fibroblasts from lung cancer patients
Vizioso, M. and Puig, M. and Carmona, F. and Maqueda, M. and Gomez, A. and Labernardie, N. and Gabasa, M. and Mendizuri, S. and Ikemori, R. and Trepat, X. and Moran, S. and Vidal, E. and Reguart, N. and Perera, A. and Esteller, M. and Alcaraz Casademunt, Jordi
Cancer research, Vol. 76, Issue 14 Supplement (2016)
[DOI]

54. Automated resolution of chromatographic signals by independent component analysis-orthogonal signal deconvolution in comprehensive gas chromatography/mass spectrometry-based metabolomics
Domingo, X. and Perera, A. and Ramirez, N. and Brezmes, J.
Computer methods and programs in biomedicine, Vol. 130, Issue (2016)
[DOI]

55. Applicability of semi-supervised learning assumptions for gene ontology terms prediction
Jaramillo-Garz’on, J. and Castellanos, C. and Perera, A.
Revista Facultad de Ingenier’ia. Universidad de Antioqu’ia, Vol. , Issue 79 (2016)
[DOI]

56. Solarius: an R interface to SOLAR for variance component analysis in pedigrees
Ziyatdinov, A. and Brunel, H. and Martinez, A. and Buil, A. and Perera, A. and Soria, J.
Bioinformatics, Vol. 32, Issue 12 (2016)
[DOI]

57. Clinical phenotype clustering in cardiovascular risk patients for the identification of responsive metabotypes after red wine polyphenol intake
Vazquez, R. and Llorach, R. and Perera, A. and Mandal, R. and Feliz, M. and Tinahones, F. and Wishart, D. and Andres, C.
Journal of nutritional biochemistry, Vol. 28, Issue (2016)
[DOI]

2015

58. Aberrant DNA methylation in non-small cell lung cancer-associated fibroblasts
Vizoso, M. and Puig, M. and Carmona, F.J. and Maqueda, M. and Vel’asquez, A. and G’omez, A. and Labernadie, A. and Lugo, R. and Gabasa, M. and Rigat-Brugarolas, L. and Trepat, X. and Ramirez, J. and Moran, S. and Vidal, E. and Reguart, N. and Perera, A. and Esteller, M. and Alcaraz Casademunt, Jordi
Carcinogenesis, Vol. 36, Issue 12 (2015)
[DOI]

59. Sequence information gain based motif analysis
Maynou, J. and Pair’o, E. and Marco, S. and Perera, A.
BMC bioinformatics, Vol. 16, Issue 377 (2015)
[DOI]

60. Compound identification in gas chromatography/mass spectrometry-based metabolomics by blind source separation
Domingo, X. and Perera, A. and Ramirez, N. and Canellas, N. and Correig, X. and Brezmes, J.
Journal of chromatography A, Vol. 1409, Issue (2015)
[DOI]

61. Data set from gas sensor array under flow modulation
Ziyatdinov, A. and Fonollosa, J. and Fern’andez, L. and Guti’errez G’alvez, Agust’in and Marco, S. and Perera, A.
Data in brief, Vol. 3, Issue (2015)
[DOI]

62. Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage
Ziyatdinov, A. and Perera, A.
Data in brief, Vol. 3, Issue (2015)
[DOI]

63. Bioinspired early detection through gas flow modulation in chemo-sensory systems
Ziyatdinov, A. and Fonollosa, J. and Valentin-Fernandez, L. and Guti’errez G’alvez, Agust’in and Marco, S. and Perera, A.
Sensors and actuators B. Chemical, Vol. 206, Issue (2015)
[DOI]

2014

64. Intensity drift removal in LC/MS metabolomics by common variance compensation
Fernandez, F. and Llorach, R. and Garcia, M. and Ziyatdinov, A. and Andres, C. and Perera, A.
Bioinformatics, Vol. 30, Issue 20 (2014)
[DOI]

65. Automatic capacitor bank identification in power distribution systems
Perera, A. and Manivannan, K. and Xu, P. and Gutierrez-Osuna, R. and Benner, C. and Russell, B.
Electric power systems research, Vol. 111, Issue (2014)
[DOI]

66. An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit)
Fernandez, F. and Llorach, R. and Andres, C. and Perera, A.
Bioinformatics, Vol. 30, Issue 13 (2014)
[DOI]

67. Peak aggregation as an innovative strategy for improving the predictive power of LC-MS metabolomic profiles
Fernandez, F. and Llorach, R. and Andres, C. and Perera, A.
Analytical chemistry, Vol. 86, Issue 5 (2014)
[DOI]

68. Data simulation in machine olfaction with the R package chemosensors
Ziyatdinov, A. and Perera, A.
PloS one, Vol. 9, Issue 2 (2014)
[DOI]

2013

69. A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation
Marco, S. and Guti’errez G’alvez, Agust’in and Lansner, A. and Martinez, D. and Rospars, J.P. and Beccherelli, R. and Perera, A. and Pearce, T.C. and Verschure, P. and Persaud, K.C.
Microsystem technologies, Vol. , Issue (2013)
[DOI]

70. Effect of genetic regions on the correlation between single point mutation variability and morbidity
Brunel, H. and Gallardo, J. and Vallverdu, M. and Caminal, P. and Perera, A.
Computers in biology and medicine, Vol. 43, Issue 5 (2013)
[DOI]

71. Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins
Jaramillo-Garz’on, J. and Gallardo, J. and Castellanos, G. and Perera, A.
BMC bioinformatics, Vol. 14, Issue 68 (2013)
[DOI]

72. A software tool for large-scale synthetic experiments based on polymeric sensor arrays
Ziyatdinov, A. and Fernandez, E. and Chaudry, A. and Marco, S. and Persaud, K.C. and Perera, A.
Sensors and actuators B. Chemical, Vol. 177, Issue (2013)
[DOI]

2012

73. Choi-Williams distribution to describe coding and non-coding regions in primary transcript pre-mRNA
Melia U. and Vallverdu, M. and Claria, F and Gallardo, J. and Perera, A. and Caminal, P.
Journal of Medical and Biological Engineering, Vol. , Issue (2012)
[DOI]

74. A subspace method for the detection of transcription factor binding sites
Pair’o, E. and Maynou, J. and Marco, S. and Perera, A.
Bioinformatics, Vol. 28, Issue 10 (2012)
[DOI]

2011

75. Biologically inspired computation for chemical sensing
Fonollosa, J. and Gutierrez-Galvez, A. and Lansner, A. and Martinez, D. and Rospars, J.P. and Beccherelli, R. and Perera, A. and Pearce, T.C. and Vershure, P. and Persaud, K.C. and Marco, S.
Procedia computer science, Vol. 7, Issue (2011)
[DOI]

2010

76. MISS: a non-linear methodology based on mutual information for genetic association studies in both population and sib-pairs analysis
Brunel, H. and Gallardo, J. and Buil, J. and Vallverdu, M. and Soria, J. and Caminal, P. and Perera, A.
Bioinformatics, Vol. 26, Issue 15 (2010)
[DOI]

77. Evaluation of fish spoilage by means of a single metal oxide sensor under temperature modulation
Perera, A. and Pardo, A. and Barrettino, D. and Hierlemann, A. and Marco, S.
Sensors and actuators B. Chemical, Vol. 146, Issue 2 (2010)
[DOI]

78. Drift compensation of gas sensor array data by common principal component analysis
Ziyatdinov, A. and Marco, S. and Chaudry, A. and Persaud, K.C. and Caminal, P. and Perera, A.
Sensors and actuators B. Chemical, Vol. 146, Issue 2 (2010)
[DOI]

79. Computational detection of transcription factor binding sites through differential R’enyi entropy
Maynou, J. and Gallardo, J. and Vallverdu, M. and Caminal, P. and Perera, A.
IEEE transactions on information theory, Vol. 52, Issue 2 (2010)
[DOI]

80. Drift compensation of gas sensor array data by Orthogonal Signal Correction
Padilla, M. and Perera, A. and Montoliu, I. and Chaudry, A. and Persaud, K.C. and Marco, S.
Chemometrics and intelligent laboratory systems, Vol. 100, Issue 1 (2010)
[DOI]

2009

81. A new gene-based association test for genome-wide association studies
Buil Demur, A. and Mart’inez-P’erez, A. and Perera, A. and Rib, L. and Soria, J. and Caminal, P.
BMC proceedings (Online), Vol. 15, Issue 3 (2009)
[DOI]

82. Dimensionality reduction oriented toward the feature visualization for ischemia detection
Delgado-Tejos, E. and Perera, A. and Vallverdu, M. and Caminal, P. and Castellanos Dominguez, G.
IEEE transactions on information technology in biomedicine, Vol. 13, Issue 4 (2009)
[DOI]

2008

83. DNA Binding Site Characterization by Means of R’enyi Entropy Measures on Nucleotide
Perera, A. and Vallverdu, M. and Claria, F and Caminal, P.
IEEE transactions on nanobioscience, Vol. 7, Issue 2 (2008)
[DOI]

2007

84. Searching for master regulators of transcription in a human gene expression data set
Buil Demur, A. and Perera, A. and Souto, R. and Peralta, J. and Almasy, L. and Vallverdu, M. and Caminal, P. and Soria, J.
BMC proceedings (Online), Vol. 1, Issue (Suppl 1) (2007)
[DOI]

85. Gene-phenotype association using mutual information-based cluster analysis
Buil Demur, A. and Perera, A. and Brunel, H. and Souto, J. and Fontcuberta, J. and Vallverdu, M. and Soria, J. and Caminal, P.
Genetic epidemiology, Vol. 31, Issue 6 (2007)
[DOI]

2006

86. Gas measurement systems based on IEEE1451.2 standard
Pardo, A. and C’amara, L. and Cabr’e, J. and Perera, A. and Cano, X. and Marco, S. and Bosch, J.
Sensors and actuators B. Chemical, Vol. 116, Issue 1-2 (2006)
[DOI]

87. A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
Perera, A. and Yamanaka, T. and Guti’errez-G’alvez, A. and Gutierrez-Osuna, R. and Raman, B.
Sensors and actuators B. Chemical, Vol. 116, Issue 1-2 (2006)
[DOI]

88. Feature extraction on three way enose signals
Padilla, M. and Montoliu, I. and Pardo, A. and Perera, A.
Sensors and actuators B. Chemical, Vol. 116, Issue 1-2 (2006)
[DOI]

89. On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions
Perera, A. and Papamichail, N. and Barsan, N. and Weimar, U. and Marco, S.
IEEE sensors journal, Vol. 6, Issue 3 (2006)
[DOI]

2002

90. Fuzzy inference system for sensor array calibration : prediction of CO and CH4 levels in variable humidity conditions
Teodor, S. and Perera, A. and Pardo, A. and Hahn, S. and Marco, S. and Barsan, N. and Weimar, U.
Chemometrics and intelligent laboratory systems, Vol. 64, Issue 2 (2002)
[DOI]

2001

91. An intelligent detector based on temperature modulation of a gas sensor with a digital signal processor
Arturo, O. and Marco, S. and Perera, A. and Teodor, S. and Pardo, A. and Samitier, J.
Sensors and actuators B. Chemical, Vol. 78, Issue 1-3 (2001)
[DOI]

2000

92. A bio-inspired nonlinear algorithm to integrate carbon monoxide concentration aiming to fulfil international standards
Perera, A. and Teodor, S. and Marco, S.
Sensors and actuators B. Chemical, Vol. 69, Issue 3 (2000)
[DOI]

Unknown Year

93. Validity of the Polar V800 monitor for measuring heart rate variability in mountain running route conditions

**, Vol. , Issue (Unknown)
[DOI]

94.

**, Vol. , Issue (Unknown)
[DOI]

95.

**, Vol. , Issue (Unknown)
[DOI]

Footnotes

soon to defend her thesis↩︎

Bio