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Benjamin A Logsdon

Showing results (1-10 of 39) with videos related to

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Plos Computational Biology|December 15, 2010
Gene expression network reconstruction by convex feature selection when incorporating genetic perturbationsBenjamin A Logsdon, Jason Mezey
BMC Bioinformatics|January 29, 2010
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysisBenjamin A Logsdon, Gabriel E Hoffman, Jason G Mezey
BMC Bioinformatics|April 5, 2012
Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive controlBenjamin A Logsdon, Gabriel E Hoffman, Jason G Mezey
Plos Computational Biology|July 5, 2013
PUMA: a unified framework for penalized multiple regression analysis of GWAS dataGabriel E Hoffman, Benjamin A Logsdon, Jason G Mezey
Plos Computational Biology|May 5, 2016
Identifying Network Perturbation in CancerMaxim Grechkin, Benjamin A Logsdon, Andrew J Gentles, et al.
Plos One|February 26, 2015
SPINE: SParse eIgengene NEtwork linking gene expression clusters in Dehalococcoides mccartyi to perturbations in experimental conditionsCresten B Mansfeldt, Benjamin A Logsdon, Garrett E Debs, et al.
Genetics|October 20, 2007
Quantitative trait loci for the circadian clock in Neurospora crassaTae-Sung Kim, Benjamin A Logsdon, Sohyun Park, et al.
Bioinformatics (Oxford, England)|May 8, 2012
A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averagingBenjamin A Logsdon, Cara L Carty, Alexander P Reiner, et al.
American Journal of Epidemiology|July 10, 2012
Simultaneously testing for marginal genetic association and gene-environment interactionJames Y Dai, Benjamin A Logsdon, Ying Huang, et al.
Nucleic Acids Research|January 14, 2015
Sparse expression bases in cancer reveal tumor driversBenjamin A Logsdon, Andrew J Gentles, Chris P Miller, et al.
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Plos Computational Biology|December 15, 2010
Gene expression network reconstruction by convex feature selection when incorporating genetic perturbationsBenjamin A Logsdon, Jason Mezey
BMC Bioinformatics|January 29, 2010
A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysisBenjamin A Logsdon, Gabriel E Hoffman, Jason G Mezey
BMC Bioinformatics|April 5, 2012
Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive controlBenjamin A Logsdon, Gabriel E Hoffman, Jason G Mezey
Plos Computational Biology|July 5, 2013
PUMA: a unified framework for penalized multiple regression analysis of GWAS dataGabriel E Hoffman, Benjamin A Logsdon, Jason G Mezey
Plos Computational Biology|May 5, 2016
Identifying Network Perturbation in CancerMaxim Grechkin, Benjamin A Logsdon, Andrew J Gentles, et al.
Plos One|February 26, 2015
SPINE: SParse eIgengene NEtwork linking gene expression clusters in Dehalococcoides mccartyi to perturbations in experimental conditionsCresten B Mansfeldt, Benjamin A Logsdon, Garrett E Debs, et al.
Genetics|October 20, 2007
Quantitative trait loci for the circadian clock in Neurospora crassaTae-Sung Kim, Benjamin A Logsdon, Sohyun Park, et al.
Bioinformatics (Oxford, England)|May 8, 2012
A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averagingBenjamin A Logsdon, Cara L Carty, Alexander P Reiner, et al.
American Journal of Epidemiology|July 10, 2012
Simultaneously testing for marginal genetic association and gene-environment interactionJames Y Dai, Benjamin A Logsdon, Ying Huang, et al.
Nucleic Acids Research|January 14, 2015
Sparse expression bases in cancer reveal tumor driversBenjamin A Logsdon, Andrew J Gentles, Chris P Miller, et al.
Pageof 4