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Ross E Curtis

Showing results (1-10 of 9) with videos related to

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BMC Genetics|April 5, 2012
Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software systemRoss E Curtis, Anuj Goyal, Eric P Xing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 17, 2011
Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMapRoss E Curtis, Junming Yin, Peter Kinnaird, et al.
Bioinformatics (Oxford, England)|June 21, 2011
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineagesAnkur P Parikh, Wei Wu, Ross E Curtis, et al.
Bioinformatics (Oxford, England)|May 10, 2011
TVNViewer: an interactive visualization tool for exploring networks that change over time or spaceRoss E Curtis, Amos Yuen, Le Song, et al.
BMC Bioinformatics|August 18, 2012
Enabling dynamic network analysis through visualization in TVNViewerRoss E Curtis, Jing Xiang, Ankur Parikh, et al.
BMC Genomics|March 22, 2013
Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modulesRoss E Curtis, Seyoung Kim, John L Woolford, et al.
Plos Computational Biology|July 25, 2014
Network analysis of breast cancer progression and reversal using a tree-evolving network algorithmAnkur P Parikh, Ross E Curtis, Irene Kuhn, et al.
Plos One|June 7, 2014
GWAS in a box: statistical and visual analytics of structured associations via GenAMapEric P Xing, Ross E Curtis, Georg Schoenherr, et al.
Nature Communications|February 8, 2017
Clustering of 770,000 genomes reveals post-colonial population structure of North AmericaEunjung Han, Peter Carbonetto, Ross E Curtis, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
BMC Genetics|April 5, 2012
Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software systemRoss E Curtis, Anuj Goyal, Eric P Xing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 17, 2011
Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMapRoss E Curtis, Junming Yin, Peter Kinnaird, et al.
Bioinformatics (Oxford, England)|June 21, 2011
TREEGL: reverse engineering tree-evolving gene networks underlying developing biological lineagesAnkur P Parikh, Wei Wu, Ross E Curtis, et al.
Bioinformatics (Oxford, England)|May 10, 2011
TVNViewer: an interactive visualization tool for exploring networks that change over time or spaceRoss E Curtis, Amos Yuen, Le Song, et al.
BMC Bioinformatics|August 18, 2012
Enabling dynamic network analysis through visualization in TVNViewerRoss E Curtis, Jing Xiang, Ankur Parikh, et al.
BMC Genomics|March 22, 2013
Structured association analysis leads to insight into Saccharomyces cerevisiae gene regulation by finding multiple contributing eQTL hotspots associated with functional gene modulesRoss E Curtis, Seyoung Kim, John L Woolford, et al.
Plos Computational Biology|July 25, 2014
Network analysis of breast cancer progression and reversal using a tree-evolving network algorithmAnkur P Parikh, Ross E Curtis, Irene Kuhn, et al.
Plos One|June 7, 2014
GWAS in a box: statistical and visual analytics of structured associations via GenAMapEric P Xing, Ross E Curtis, Georg Schoenherr, et al.
Nature Communications|February 8, 2017
Clustering of 770,000 genomes reveals post-colonial population structure of North AmericaEunjung Han, Peter Carbonetto, Ross E Curtis, et al.
Pageof 1