Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Yves A. Lussier"'
Autor:
Amy P. Hsu, Agnieszka Korzeniowska, Cynthia C. Aguilar, Jingwen Gu, Eric Karlins, Andrew J. Oler, Gang Chen, Glennys V. Reynoso, Joie Davis, Alexandria Chaput, Tao Peng, Ling Sun, Justin B. Lack, Derek J. Bays, Ethan R. Stewart, Sarah E. Waldman, Daniel A. Powell, Fariba M. Donovan, Jigar V. Desai, Nima Pouladi, Debra A. Long Priel, Daisuke Yamanaka, Sergio D. Rosenzweig, Julie E. Niemela, Jennifer Stoddard, Alexandra F. Freeman, Christa S. Zerbe, Douglas B. Kuhns, Yves A. Lussier, Kenneth N. Olivier, Richard C. Boucher, Heather D. Hickman, Jeffrey Frelinger, Joshua Fierer, Lisa F. Shubitz, Thomas L. Leto, George R. Thompson III, John N. Galgiani, Michail S. Lionakis, Steven M. Holland
Publikováno v:
JCI Insight, Vol 7, Iss 22 (2022)
Disseminated coccidioidomycosis (DCM) is caused by Coccidioides, pathogenic fungi endemic to the southwestern United States and Mexico. Illness occurs in approximately 30% of those infected, less than 1% of whom develop disseminated disease. To addre
Externí odkaz:
https://doaj.org/article/cebc40ab082748549ea91e23e65f0242
Autor:
Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Wesley Chiu, Liam Wilson, Hao Helen Zhang, Yves A. Lussier
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-22 (2020)
Abstract Background In this era of data science-driven bioinformatics, machine learning research has focused on feature selection as users want more interpretation and post-hoc analyses for biomarker detection. However, when there are more features (
Externí odkaz:
https://doaj.org/article/f79d3e96648b4b87a411af504b84c054
Autor:
Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Francesca Vitali, Helen Hao Zhang, Yves A. Lussier
Publikováno v:
BMC Medical Genomics, Vol 12, Iss S5, Pp 1-15 (2019)
Abstract Background Gene expression profiling has benefited medicine by providing clinically relevant insights at the molecular candidate and systems levels. However, to adopt a more ‘precision’ approach that integrates individual variability inc
Externí odkaz:
https://doaj.org/article/d8c5db5cc7e148b698ae1058165d65a2
Autor:
Haiquan Li, Jungwei Fan, Francesca Vitali, Joanne Berghout, Dillon Aberasturi, Jianrong Li, Liam Wilson, Wesley Chiu, Minsu Pumarejo, Jiali Han, Colleen Kenost, Pradeep C. Koripella, Nima Pouladi, Dean Billheimer, Edward J. Bedrick, Yves A. Lussier
Publikováno v:
BMC Medical Genomics, Vol 11, Iss S6, Pp 1-15 (2018)
Abstract Background Forty-two percent of patients experience disease comorbidity, contributing substantially to mortality rates and increased healthcare costs. Yet, the possibility of underlying shared mechanisms for diseases remains not well establi
Externí odkaz:
https://doaj.org/article/7f9da742a05c4ac682be3d885ab0f45b
Autor:
Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Wesley Chiu, Liam Wilson, Hao Helen Zhang, Yves A. Lussier
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-2 (2020)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/67c94811c9134ae2985bfe11359ad101
Autor:
Qike Li, A. Grant Schissler, Vincent Gardeux, Ikbel Achour, Colleen Kenost, Joanne Berghout, Haiquan Li, Hao Helen Zhang, Yves A. Lussier
Publikováno v:
BMC Medical Genomics, Vol 10, Iss S1, Pp 5-16 (2017)
Abstract Background Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues more accurate and individualized treatment decisions, these methods are n
Externí odkaz:
https://doaj.org/article/e41206918a824ae38f85edb7960d8b1f
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
RNA-Sequencing data offers an opportunity to enable precision medicine, but most methods rely on gene expression alone. To date, no methodology exists to identify and interpret alternative splicing patterns within pathways for an individual patient.
Externí odkaz:
https://doaj.org/article/5e1b9500fcc14ea88c01e96fcfd4b9d9
Publikováno v:
Journal of Personalized Medicine, Vol 11, Iss 1, p 24 (2020)
Background: Developing patient-centric baseline standards that enable the detection of clinically significant outlier gene products on a genome-scale remains an unaddressed challenge required for advancing personalized medicine beyond the small pools
Externí odkaz:
https://doaj.org/article/dc6ec453d14241e88e6a77ee0a118824
Publikováno v:
Cancer Informatics, Vol 2009, Iss Semantic Technologie, Pp 75-94 (2009)
An approach towards heterogeneous neuroscience dataset integration is proposed that uses Natural Language Processing (NLP) and a knowledge-based phenotype organizer system (PhenOS) to link ontology-anchored terms to underlying data from each database
Externí odkaz:
https://doaj.org/article/0e76e1fa60034b5197a5f06c80fb2dd6
Autor:
Yves A. Lussier, Nikolai N. Khodarev, Kelly Regan, Kimberly Corbin, Haiquan Li, Sabha Ganai, Sajid A. Khan, Jennifer L. Gnerlich, Thomas E. Darga, Hanli Fan, Oleksiy Karpenko, Philip B. Paty, Mitchell C. Posner, Steven J. Chmura, Samuel Hellman, Mark K. Ferguson, Ralph R. Weichselbaum
Publikováno v:
PLoS ONE, Vol 8, Iss 6 (2013)
Externí odkaz:
https://doaj.org/article/3b9f89ecdc1c4cc29417ff167be9a09d