Robin Gras
Cited by
Cited by
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
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
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
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
Rule extraction from random forest: the RF+ HC methods
M Mashayekhi, R Gras
Advances in Artificial Intelligence: 28th Canadian Conference on Artificial …, 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
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
Computational aspects of protein identification by mass spectrometry.
R Gras, M Müller
Current Opinion in Molecular Therapeutics 3 (6), 526-532, 2001
K-means clustering as a speciation mechanism within an individual-based evolving predator-prey ecosystem simulation
A Aspinall, R Gras
Active Media Technology: 6th International Conference, AMT 2010, Toronto …, 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
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
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
Regularity analysis of an individual-based ecosystem simulation
A Golestani, R Gras
Chaos: An Interdisciplinary Journal of Nonlinear Science 20 (4), 043120, 2010
Can we predict the unpredictable?
A Golestani, R Gras
Scientific Reports, 2014
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
MoDEL: an efficient strategy for ungapped local multiple alignment
D Hernández, R Gras, R Appel
Computational Biology and Chemistry 28 (2), 119-128, 2004
Individual-based ecological models: Adjunctive tools or experimental systems?
B MacPherson, R Gras
Ecological Modelling 323, 106-114, 2016
Individual-Based Ecological Models: Adjunctive Tools or Experimental Systems?
B MacPherson, R Gras
Ecological Modelling, 2015
Speciation without pre-defined fitness functions
R Gras, A Golestani, A Hendry, M Cristescu
PLOS ONE, 2015
Predation Risk Tradeoffs in Prey: Effects on Energy and Behaviour
M Khater, D Murariu, R Gras
Theoretical Ecology, 2015
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