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Hsin-Ta Wu

Showing results (1-10 of 24) with videos related to

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Bioinformatics (Oxford, England)|June 17, 2014
Detecting independent and recurrent copy number aberrations using interval graphsHsin-Ta Wu, Iman Hajirasouliha, Benjamin J Raphael
Bioinformatics (Oxford, England)|November 8, 2017
Identifying structural variants using linked-read sequencing dataRebecca Elyanow, Hsin-Ta Wu, Benjamin J Raphael
Nature Genetics|January 28, 2016
Reply: Co-occurrence of MYC amplification and TP53 mutations in human cancerMark D M Leiserson, Fabio Vandin, Hsin-Ta Wu, et al.
Genome Biology|August 9, 2015
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancerMark D M Leiserson, Hsin-Ta Wu, Fabio Vandin, et al.
Genome Biology|August 4, 2016
Erratum to: CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancerMark D M Leiserson, Hsin-Ta Wu, Fabio Vandin, et al.
Genome Biology|March 29, 2012
An integrative probabilistic model for identification of structural variation in sequencing dataSuzanne S Sindi, Selim Onal, Luke C Peng, et al.
Nature Methods|May 29, 2015
MAGI: visualization and collaborative annotation of genomic aberrationsMark D M Leiserson, Connor C Gramazio, Jason Hu, et al.
Optics Express|March 1, 2017
Optimization of PAM-4 transmitters based on lumped silicon photonic MZMs for high-speed short-reach optical linksShiyu Zhou, Hsin-Ta Wu, Khosrov Sadeghipour, et al.
Plos One|April 5, 2013
Identification of ovarian cancer metastatic miRNAsSouriya Vang, Hsin-Ta Wu, Andrew Fischer, et al.
Plos One|April 16, 2014
Expression profiling of primary and metastatic ovarian tumors reveals differences indicative of aggressive diseaseAlexander S Brodsky, Andrew Fischer, Daniel H Miller, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Bioinformatics (Oxford, England)|June 17, 2014
Detecting independent and recurrent copy number aberrations using interval graphsHsin-Ta Wu, Iman Hajirasouliha, Benjamin J Raphael
Bioinformatics (Oxford, England)|November 8, 2017
Identifying structural variants using linked-read sequencing dataRebecca Elyanow, Hsin-Ta Wu, Benjamin J Raphael
Nature Genetics|January 28, 2016
Reply: Co-occurrence of MYC amplification and TP53 mutations in human cancerMark D M Leiserson, Fabio Vandin, Hsin-Ta Wu, et al.
Genome Biology|August 9, 2015
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancerMark D M Leiserson, Hsin-Ta Wu, Fabio Vandin, et al.
Genome Biology|August 4, 2016
Erratum to: CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancerMark D M Leiserson, Hsin-Ta Wu, Fabio Vandin, et al.
Genome Biology|March 29, 2012
An integrative probabilistic model for identification of structural variation in sequencing dataSuzanne S Sindi, Selim Onal, Luke C Peng, et al.
Nature Methods|May 29, 2015
MAGI: visualization and collaborative annotation of genomic aberrationsMark D M Leiserson, Connor C Gramazio, Jason Hu, et al.
Optics Express|March 1, 2017
Optimization of PAM-4 transmitters based on lumped silicon photonic MZMs for high-speed short-reach optical linksShiyu Zhou, Hsin-Ta Wu, Khosrov Sadeghipour, et al.
Plos One|April 5, 2013
Identification of ovarian cancer metastatic miRNAsSouriya Vang, Hsin-Ta Wu, Andrew Fischer, et al.
Plos One|April 16, 2014
Expression profiling of primary and metastatic ovarian tumors reveals differences indicative of aggressive diseaseAlexander S Brodsky, Andrew Fischer, Daniel H Miller, et al.
Pageof 3