Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mazid Abiodoun Osseni"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Abstract Background Deep learning methods are a proven commodity in many fields and endeavors. One of these endeavors is predicting the presence of adverse drug–drug interactions (DDIs). The models generated can predict, with reasonable accuracy, t
Externí odkaz:
https://doaj.org/article/aae7f905b75b4f86b4fe23b5cacaa548
Autor:
Mélina Côté, Mazid Abiodoun Osseni, Didier Brassard, Élise Carbonneau, Julie Robitaille, Marie-Claude Vohl, Simone Lemieux, François Laviolette, Benoît Lamarche
Publikováno v:
Frontiers in Nutrition, Vol 9 (2022)
Machine learning (ML) algorithms may help better understand the complex interactions among factors that influence dietary choices and behaviors. The aim of this study was to explore whether ML algorithms are more accurate than traditional statistical
Externí odkaz:
https://doaj.org/article/e29e2c741bdf48a49d60125aa7c95fd0
MotivationBreakthroughs in high-throughput technologies and machine learning methods have enabled the shift towards multi-omics modelling as the preferred means to understand the mechanisms underlying biological processes. Machine learning enables an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b12789110e3e7afca9ef11facb7f5a1f
https://doi.org/10.21203/rs.3.rs-1348696/v1
https://doi.org/10.21203/rs.3.rs-1348696/v1
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Background Deep learning methods are a proven commodity in many fields and endeavors. One of these endeavors is predicting the presence of adverse drug–drug interactions (DDIs). The models generated can predict, with reasonable accuracy, the phenot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c188cdb9d4f1997873488cd66fae169c
http://europepmc.org/articles/PMC8489092
http://europepmc.org/articles/PMC8489092
Autor:
Geneviève Ouellette, Caroline Diorio, Maxime Déraspe, Lynda Agbo, Francine Durocher, François Laviolette, Jean-Philippe Lambert, Jacques Corbeil, Mazid Abiodoun Osseni, Charu Kothari
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-15 (2020)
Triple negative breast cancer (TNBC) is one of the most aggressive form of breast cancer (BC) with the highest mortality due to high rate of relapse, resistance, and lack of an effective treatment. Various molecular approaches have been used to targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d014ec67f21698b9b76d36b9ee8758f8
https://doi.org/10.1038/s41598-020-67525-1
https://doi.org/10.1038/s41598-020-67525-1
Publikováno v:
PLoS Genetics
PLoS Genetics, Vol 10, Iss 1, p e1004062 (2014)
PLoS Genetics, Vol 10, Iss 1, p e1004062 (2014)
Protein phosphorylation is a key mechanism to regulate protein functions. However, the contribution of this protein modification to species divergence is still largely unknown. Here, we studied the evolution of mammalian phosphoregulation by comparin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e27afb6237b325d1871e8805e99b2633
https://doi.org/10.1371/journal.pgen.1004062
https://doi.org/10.1371/journal.pgen.1004062
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8000c7ffc32c1e0e6e4fd74683e5318a
http://www.scopus.com/inward/record.url?eid=2-s2.0-85103844381&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85103844381&partnerID=MN8TOARS