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Paul Geeleher

Showing results (1-10 of 37) with videos related to

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Cancer Discovery|April 5, 2017
Exploring the Link between the Germline and Somatic Genome in CancerPaul Geeleher, R Stephanie Huang
Briefings in Bioinformatics|January 19, 2019
Long non-coding RNA transcriptome of uncharacterized samples can be accurately imputed using protein-coding genesAritro Nath, Paul Geeleher, R Stephanie Huang
Plos One|September 18, 2014
pRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levelsPaul Geeleher, Nancy Cox, R Stephanie Huang
Pharmacogenomics|March 15, 2017
Institutional Profile: Pharmacogenomic research in R Stephanie Huang LaboratoryPaul Geeleher, Aritro Nath, Rong Stephanie Huang
BMC Bioinformatics|September 5, 2015
Seq-ing improved gene expression estimates from microarrays using machine learningPaul K Korir, Paul Geeleher, Cathal Seoighe
Bioinformatics (Oxford, England)|March 25, 2009
BioconductorBuntu: a Linux distribution that implements a web-based DNA microarray analysis serverPaul Geeleher, Dermot Morris, John P Hinde, et al.
Genome Biology|March 4, 2014
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell linesPaul Geeleher, Nancy J Cox, R Stephanie Huang
Genome Biology|September 23, 2016
Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical modelsPaul Geeleher, Nancy J Cox, R Stephanie Huang
Plos Computational Biology|October 5, 2022
Random-effects meta-analysis of effect sizes as a unified framework for gene set analysisMohammad A Makrooni, Dónal O'Shea, Paul Geeleher, et al.
Plos One|April 5, 2014
Integrative "omic" analysis for tamoxifen sensitivity through cell based modelsLiming Weng, Dana Ziliak, Bonnie Lacroix, et al.
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Cancer Discovery|April 5, 2017
Exploring the Link between the Germline and Somatic Genome in CancerPaul Geeleher, R Stephanie Huang
Briefings in Bioinformatics|January 19, 2019
Long non-coding RNA transcriptome of uncharacterized samples can be accurately imputed using protein-coding genesAritro Nath, Paul Geeleher, R Stephanie Huang
Plos One|September 18, 2014
pRRophetic: an R package for prediction of clinical chemotherapeutic response from tumor gene expression levelsPaul Geeleher, Nancy Cox, R Stephanie Huang
Pharmacogenomics|March 15, 2017
Institutional Profile: Pharmacogenomic research in R Stephanie Huang LaboratoryPaul Geeleher, Aritro Nath, Rong Stephanie Huang
BMC Bioinformatics|September 5, 2015
Seq-ing improved gene expression estimates from microarrays using machine learningPaul K Korir, Paul Geeleher, Cathal Seoighe
Bioinformatics (Oxford, England)|March 25, 2009
BioconductorBuntu: a Linux distribution that implements a web-based DNA microarray analysis serverPaul Geeleher, Dermot Morris, John P Hinde, et al.
Genome Biology|March 4, 2014
Clinical drug response can be predicted using baseline gene expression levels and in vitro drug sensitivity in cell linesPaul Geeleher, Nancy J Cox, R Stephanie Huang
Genome Biology|September 23, 2016
Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical modelsPaul Geeleher, Nancy J Cox, R Stephanie Huang
Plos Computational Biology|October 5, 2022
Random-effects meta-analysis of effect sizes as a unified framework for gene set analysisMohammad A Makrooni, Dónal O'Shea, Paul Geeleher, et al.
Plos One|April 5, 2014
Integrative "omic" analysis for tamoxifen sensitivity through cell based modelsLiming Weng, Dana Ziliak, Bonnie Lacroix, et al.
Pageof 4