Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sébastien Giguère"'
Autor:
Sébastien Giguère, François Laviolette, Mario Marchand, Denise Tremblay, Sylvain Moineau, Xinxia Liang, Éric Biron, Jacques Corbeil
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 4, p e1004074 (2015)
The discovery of peptides possessing high biological activity is very challenging due to the enormous diversity for which only a minority have the desired properties. To lower cost and reduce the time to obtain promising peptides, machine learning ap
Externí odkaz:
https://doaj.org/article/7c5302b911904fddab24e0081a11b3a3
Publikováno v:
Molecular & Cellular Proteomics. 16:786-798
Mass spectrometry allows quantification of tens of thousands of phosphorylation sites from minute amounts of cellular material. Despite this wealth of information, our understanding of phosphorylation-based signaling is limited, in part because it is
Autor:
Michael F. Byrne, Andrew W. Sullivan, Nicolas Chapados, Margaret E. MacPhail, Clemens Oertel, Sébastien Giguère, Sina Hamidi Ghalehjegh, Florent Chandelier, Florian Soudan, Francisco J. Echagüe, Nicolas Guizard, Douglas K. Rex, Milagros L. Henkel
Publikováno v:
Gastrointestinal Endoscopy. 87:AB475
Publikováno v:
Advanced Structured Prediction ISBN: 9780262322959
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147171364320ca49149561d3dfcd14b2
https://doi.org/10.7551/mitpress/9969.003.0012
https://doi.org/10.7551/mitpress/9969.003.0012
Autor:
Mario Marchand, Sébastien Giguère, Jacques Corbeil, François Laviolette, Alexandre Lacoste, Alexandre Drouin
Publikováno v:
Journal of immunological methods.
We present MHC-NP, a tool for predicting peptides naturally processed by the MHC pathway. The method was part of the 2nd Machine Learning Competition in Immunology and yielded state-of-the-art accuracy for the prediction of peptides eluted from human
Publikováno v:
BMC Bioinformatics
We propose a specialized string kernel for small bio-molecules, peptides and pseudo-sequences of binding interfaces. The kernel incorporates physico-chemical properties of amino acids and elegantly generalize eight kernels, such as the Oligo, the Wei
Autor:
Sébastien Giguère, François Laviolette, Brice Zirakiza, Jean-Francis Roy, Claude-Guy Quimper, Pascal Germain
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642335570
CP
CP
The Set Covering Machine (SCM) is a machine learning algorithm that constructs a conjunction of Boolean functions. This algorithm is motivated by the minimization of a theoretical bound. However, finding the optimal conjunction according to this boun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::196d9d334a0421cb42f1d28860305398
https://doi.org/10.1007/978-3-642-33558-7_65
https://doi.org/10.1007/978-3-642-33558-7_65
Autor:
Sylvain Moineau, Eric Biron, Jacques Corbeil, Sébastien Giguère, Xinxia Liang, François Laviolette, Denise M. Tremblay, Mario Marchand
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 11, Iss 4, p e1004074 (2015)
PLoS Computational Biology, Vol 11, Iss 4, p e1004074 (2015)
The discovery of peptides possessing high biological activity is very challenging due to the enormous diversity for which only a minority have the desired properties. To lower cost and reduce the time to obtain promising peptides, machine learning ap