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Biostatistics (Oxford, England)
|
May 13, 2015
Shape analysis of high-throughput transcriptomics experiment data
Kwame Okrah, Héctor Corrada Bravo
BMC Bioinformatics
|
September 3, 2015
Epiviz: a view inside the design of an integrated visual analysis software for genomics
Florin Chelaru, Héctor Corrada Bravo
Cancer Informatics
|
June 17, 2015
Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis
Wikum Dinalankara, Héctor Corrada Bravo
Biometrics
|
November 17, 2009
Model-based quality assessment and base-calling for second-generation sequencing data
Héctor Corrada Bravo, Rafael A Irizarry
Genome Research
|
June 18, 2016
Heterogeneity of transcription factor binding specificity models within and across cell lines
Mahfuza Sharmin, Héctor Corrada Bravo, Sridhar Hannenhalli
BMC Cancer
|
February 13, 2016
Distinct genomic and epigenomic features demarcate hypomethylated blocks in colon cancer
Mahfuza Sharmin, Héctor Corrada Bravo, Sridhar Hannenhalli
Bioinformatics (Oxford, England)
|
January 14, 2014
BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution
Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo
Bioinformatics (Oxford, England)
|
June 2, 2016
methylFlow: cell-specific methylation pattern reconstruction from high-throughput bisulfite-converted DNA sequencing
Faezeh Dorri, Lee Mendelowitz, Héctor Corrada Bravo
Molecular Biology and Evolution
|
July 16, 2009
A phylogenetic mixture model for the evolution of gene expression
Kevin H Eng, Héctor Corrada Bravo, Sündüz Keleş
Peerj
|
October 22, 2014
Removing batch effects for prediction problems with frozen surrogate variable analysis
Hilary S Parker, Héctor Corrada Bravo, Jeffrey T Leek
Page
of 4
Search research articles
Search
Showing results (1-10 of 37) with videos related to
Sort By:
Page
of 4
Biostatistics (Oxford, England)
|
May 13, 2015
Shape analysis of high-throughput transcriptomics experiment data
Kwame Okrah, Héctor Corrada Bravo
BMC Bioinformatics
|
September 3, 2015
Epiviz: a view inside the design of an integrated visual analysis software for genomics
Florin Chelaru, Héctor Corrada Bravo
Cancer Informatics
|
June 17, 2015
Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis
Wikum Dinalankara, Héctor Corrada Bravo
Biometrics
|
November 17, 2009
Model-based quality assessment and base-calling for second-generation sequencing data
Héctor Corrada Bravo, Rafael A Irizarry
Genome Research
|
June 18, 2016
Heterogeneity of transcription factor binding specificity models within and across cell lines
Mahfuza Sharmin, Héctor Corrada Bravo, Sridhar Hannenhalli
BMC Cancer
|
February 13, 2016
Distinct genomic and epigenomic features demarcate hypomethylated blocks in colon cancer
Mahfuza Sharmin, Héctor Corrada Bravo, Sridhar Hannenhalli
Bioinformatics (Oxford, England)
|
January 14, 2014
BlindCall: ultra-fast base-calling of high-throughput sequencing data by blind deconvolution
Chengxi Ye, Chiaowen Hsiao, Héctor Corrada Bravo
Bioinformatics (Oxford, England)
|
June 2, 2016
methylFlow: cell-specific methylation pattern reconstruction from high-throughput bisulfite-converted DNA sequencing
Faezeh Dorri, Lee Mendelowitz, Héctor Corrada Bravo
Molecular Biology and Evolution
|
July 16, 2009
A phylogenetic mixture model for the evolution of gene expression
Kevin H Eng, Héctor Corrada Bravo, Sündüz Keleş
Peerj
|
October 22, 2014
Removing batch effects for prediction problems with frozen surrogate variable analysis
Hilary S Parker, Héctor Corrada Bravo, Jeffrey T Leek
Page
of 4