Robin Gras

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Ron D. AppelExecutive Director, SIB Swiss Institute of BioinformaticsVerified email at isb-sib.ch
Markus MullerDepartment of Oncology, CHUV and Vital-IT, SIB Swiss Institute of BioinformaticsVerified email at sib.swiss
Willy BienvenutGQE - Le Moulon, INRAVerified email at u-psud.fr
Abbas GolestaniSenior Data Scientist, IBMVerified email at us.ibm.com
Morteza Mashayekhi, PhD.MetaVerified email at fb.com
Amos BairochUniversity of Geneva & group leader, SIB Swiss Institute of BioinformaticsVerified email at sib.swiss
David HernandezGeneva University Hospitals, Genomic Research LaboratoryVerified email at genomic.ch
Patricia M. PalagiSIB Swiss Institute of BionformaticsVerified email at sib.swiss
Melania CristescuMcGill UniversityVerified email at mcgill.ca
Marc WilkinsUniversity of New South Wales, AustraliaVerified email at unsw.edu.au
Didier DevaursUniversity of EdinburghVerified email at ed.ac.uk
Antoine DanchinUniversity of Hong Kong (Hon. Prof)Verified email at normalesup.org
Sourodeep BhattacharjeePhD Candidate, University of WindsorVerified email at uwindsor.ca
Luis RuedaProfessor, School of Computer Science, University of WindsorVerified email at uwindsor.ca
List of Publications of Werner DubitzkyFreelance Data ScientistVerified email at dubitzky.com
Andrew HendryRedpath Museum and Department of Biology, McGill UniversityVerified email at mcgill.ca
Melanie PragueAssociate professor/Researchor - Inria, Inserm U1219, ISPED, Université BordeauxVerified email at inria.fr
Ayaz HyderThe Ohio State UniversityVerified email at osu.edu
Lucas BrotzHonorary Research Associate, Institute for the Oceans and Fisheries, University of British ColumbiaVerified email at oceans.ubc.ca
Fabrice E. GuilletFull Professor, Computer Science, LS2N CNRS UMR6004, University of Nantes, Polytech NantesVerified email at univ-nantes.fr

Robin Gras

Professor of Computer Science, University of Windsor

Verified email at uwindsor.ca - Homepage

Deep Learning Machine Learning Articial Intelligence Theoretical Biology Ecological Modelling


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Improving protein identification from peptide mass fingerprinting through a parameterized multi‐level scoring algorithm and an optimized peak detection R Gras, M Müller, E Gasteiger, S Gay, PA Binz, W Bienvenut, C Hoogland, ... ELECTROPHORESIS: An International Journal 20 (18), 3535-3550, 1999	196	1999
A molecular scanner to automate proteomic research and to display proteome images PA Binz, M Müller, D Walther, WV Bienvenut, R Gras, C Hoogland, ... Analytical Chemistry 71 (21), 4981-4988, 1999	177	1999
Popitam: towards new heuristic strategies to improve protein identification from tandem mass spectrometry data P Hernandez, R Gras, J Frey, RD Appel Proteomics 3 (6), 870-878, 2003	137	2003
An individual-based evolving predator-prey ecosystem simulation using a fuzzy cognitive map as the behavior model R Gras, D Devaurs, A Wozniak, A Aspinall Artificial life 15 (4), 423-463, 2009	136	2009
Rule extraction from random forest: the RF+ HC methods M Mashayekhi, R Gras Canadian Conference on Artificial Intelligence, 223-237, 2015	54	2015
Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays YL Yap, MP Wong, XW Zhang, D Hernandez, R Gras, DK Smith, ... Nucleic acids research 33 (1), 409-421, 2005	50	2005
Visualization and analysis of molecular scanner peptide mass spectra M Müller, R Gras, RD Appel, WV Bienvenut, DF Hochstrasser Journal of the American Society for Mass Spectrometry 13 (3), 221-231, 2002	47	2002
Computational aspects of protein identification by mass spectrometry. R Gras, M Müller Current Opinion in Molecular Therapeutics 3 (6), 526-532, 2001	43	2001
K-means clustering as a speciation mechanism within an individual-based evolving predator-prey ecosystem simulation A Aspinall, R Gras International Conference on Active Media Technology, 318-329, 2010	40	2010
Species abundance patterns in an ecosystem simulation studied through Fisher’s logseries D Devaurs, R Gras Simulation Modelling Practice and Theory 18 (1), 100-123, 2010	37	2010
Speciation with gene flow in a heterogeneous virtual world: can physical obstacles accelerate speciation? A Golestani, R Gras, M Cristescu Proceedings of the Royal Society B: Biological Sciences 279 (1740), 3055-3064, 2012	35	2012
Regularity analysis of an individual-based ecosystem simulation A Golestani, R Gras Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 043120, 2010	35	2010
Rule Extraction from Decision Trees Ensembles: New Algorithms based on Heuristic Search and Sparse Group Lasso Methods M Mashayekhi, R Gras International Journal of Information Technology & Decision Making, 2016	34	2016
Can we predict the unpredictable? A Golestani, R Gras Scientific Reports, 2014	30	2014
MoDEL: an efficient strategy for ungapped local multiple alignment D Hernández, R Gras, R Appel Computational Biology and Chemistry 28 (2), 119-128, 2004	30	2004
43 genes support the lungfish-coelacanth grouping related to the closest living relative of tetrapods with the Bayesian method under the coalescence model Y Shan, R Gras BMC Research Notes 4 (1), 1-6, 2011	29	2011
Artificial intelligence methods and tools for systems biology W Dubitzky, F Azuaje Kluwer Academic Pub, 2004	27	2004
Individual-based ecological models: Adjunctive tools or experimental systems? B MacPherson, R Gras Ecological Modelling 323, 106-114, 2016	24	2016
Individual-Based Ecological Models: Adjunctive Tools or Experimental Systems? B MacPherson, R Gras Ecological Modelling, 2015	24	2015
Speciation without pre-defined fitness functions R Gras, A Golestani, A Hendry, M Cristescu PLOS ONE, 2015	22	2015

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