Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mumtahena Rahman"'
Autor:
Mumtahena Rahman, Shelley M. MacNeil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. McQuerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild
Publikováno v:
Genome Medicine, Vol 9, Iss 1, Pp 1-19 (2017)
Abstract Background The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the
Externí odkaz:
https://doaj.org/article/b3272234b5d5417c9646f7557697b3d6
Autor:
Don Roosan, Mumtahena Rahman, Guilherme Del Fiol, Matthew H. Samore, Gregory J. Stoddard, Makoto Jones, Charlene R. Weir
Publikováno v:
Journal of Biomedical Informatics. 71:S13-S21
Background Understanding complexity in healthcare has the potential to reduce decision and treatment uncertainty. Therefore, identifying both patient and task complexity may offer better task allocation and design recommendation for next-generation h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56a60ec81135734ea4117efb4a8c125
https://doi.org/10.1016/j.jbi.2016.10.018
https://doi.org/10.1016/j.jbi.2016.10.018
Autor:
Stephen R. Piccolo, W. Evan Johnson, Shelley M. MacNeil, Andrea H. Bild, Mumtahena Rahman, David Jenkins, Gajendra Shrestha, Sydney Rose Wyatt, Laura M. Heiser, Joe W. Gray, Jasmine A. McQuerry
Publikováno v:
Genome Medicine, Vol 9, Iss 1, Pp 1-19 (2017)
Genome Medicine
Genome Medicine
Background The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7204be3fbfc80a8ea1718c559fd5a7ac
http://link.springer.com/article/10.1186/s13073-017-0429-x
http://link.springer.com/article/10.1186/s13073-017-0429-x
Autor:
Mumtahena Rahman, Luis Cheng, Stefano Monti, Stephen R. Piccolo, Daniel Gusenleitner, W. Evan Johnson, Andrea Bild, Ying Shen, Nader N. El-Chaar
Publikováno v:
Bioinformatics. 31:1745-1753
Motivation: Although gene-expression signature-based biomarkers are often developed for clinical diagnosis, many promising signatures fail to replicate during validation. One major challenge is that biological samples used to generate and validate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc3ec1fd4fcae913038dcb185ec3fe6
https://doi.org/10.1093/bioinformatics/btv031
https://doi.org/10.1093/bioinformatics/btv031
Autor:
Mumtahena Rahman, MacNeil, Shelley, Jenkins, David, Gajendra Shrestha, Wyatt, Sydney, McQuerry, Jasmine, Piccolo, Stephen, Heiser, Laura, Gray, Joe, W. Johnson, Bild, Andrea
Supplemental results, figures and tables. (PDF 2514Â kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48036128c9c46ca3b7262fb317e076a9
Autor:
W. Evan Johnson, Stephen R. Piccolo, Dean Y. Li, Andrea H. Bild, Mumtahena Rahman, Laurie K. Jackson
Motivation: The Cancer Genome Atlas (TCGA) RNA-Sequencing data are used widely for research. TCGA provides ‘Level 3’ data, which have been processed using a pipeline specific to that resource. However, we have found using experimentally derived d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb7a271696408033373cfc7fe8fa745f
https://europepmc.org/articles/PMC4804769/
https://europepmc.org/articles/PMC4804769/