Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Samir Rachid Zaim"'
Autor:
Samir Rachid Zaim, Mark-Phillip Pebworth, Imran McGrath, Lauren Okada, Morgan Weiss, Julian Reading, Julie L. Czartoski, Troy R. Torgerson, M. Juliana McElrath, Thomas F. Bumol, Peter J. Skene, Xiao-jun Li
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-24 (2024)
Abstract Single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) is being increasingly used to study gene regulation. However, major analytical gaps limit its utility in studying gene regulatory programs in complex diseas
Externí odkaz:
https://doaj.org/article/510a659dc6a34101b8936defcaa98168
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:
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:
Yves A. Lussier, Hao Helen Zhang, Wesley Chiu, Samir Rachid Zaim, Colleen Kenost, Liam Wilson, Joanne Berghout
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-2 (2020)
BMC Bioinformatics
BMC Bioinformatics
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 (i.e., transcripts) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deac5151d6493dfa59d4c192ff56ba03
https://doi.org/10.1186/s12859-020-03822-w
https://doi.org/10.1186/s12859-020-03822-w
Autor:
Samir Rachid Zaim
Publikováno v:
Nature.
Samir Rachid Zaim faced down an escalating crisis in his home country of Venezuela, as well as his PhD, with the support of mental-health services. Samir Rachid Zaim faced down an escalating crisis in his home country of Venezuela, as well as his PhD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c0686dd452a9bf2053d367c30c51a8
https://doi.org/10.1038/d41586-020-01271-2
https://doi.org/10.1038/d41586-020-01271-2
Autor:
Helen Hao Zhang, Haiquan Li, Dillon Aberasturi, Francesca Vitali, Yves A. Lussier, Joanne Berghout, Qike Li, Colleen Kenost, Samir Rachid Zaim
Calculating Differentially Expressed Genes (DEGs) from RNA-sequencing requires replicates to estimate gene-wise variability, infeasible in clinics. By imposing restrictive transcriptome-wide assumptions limiting inferential opportunities of conventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e501148782454498e2c150507803924
https://europepmc.org/articles/PMC7153139/
https://europepmc.org/articles/PMC7153139/
Autor:
Yves A. Lussier, Joanne Berghout, Colleen Kenost, Samir Rachid Zaim, Helen Hao Zhang, Francesca Vitali
Publikováno v:
BMC Medical Genomics
BMC Medical Genomics, Vol 12, Iss S5, Pp 1-15 (2019)
BMC Medical Genomics, Vol 12, Iss S5, Pp 1-15 (2019)
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 including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::756f40c6f67ba1d66427a24e94244400
https://doi.org/10.1186/s12920-019-0513-8
https://doi.org/10.1186/s12920-019-0513-8
Autor:
Liam Wilson, Hao Helen Zhang, Joanne Berghout, Yves A. Lussier, Samir Rachid Zaim, Colleen Kenost, Wesley Chiu
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-22 (2020)
BMC Bioinformatics
BMC Bioinformatics
BackgroundIn 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 (i.e., tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b03936563125e273ad8920db5db02914
Publikováno v:
Journal of Personalized Medicine
Volume 11
Issue 1
Journal of Personalized Medicine, Vol 11, Iss 24, p 24 (2021)
Volume 11
Issue 1
Journal of Personalized Medicine, Vol 11, Iss 24, p 24 (2021)
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c40220f223f2b085d7c6971d69ae296
https://doi.org/10.3390/jpm11010024
https://doi.org/10.3390/jpm11010024