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Matthew A Hibbs

Showing results (1-10 of 25) with videos related to

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Plos One|April 16, 2026
Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotationsCole E McGuire, Matthew A Hibbs
Bonekey Reports|August 17, 2013
The need for mouse models in osteoporosis genetics researchCheryl L Ackert-Bicknell, Matthew A Hibbs
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2009
Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic dataCurtis Huttenhower, Chad L Myers, Matthew A Hibbs, et al.
BMC Bioinformatics|May 14, 2005
Visualization methods for statistical analysis of microarray clustersMatthew A Hibbs, Nathaniel C Dirksen, Kai Li, et al.
BMC Genomics|July 28, 2006
Finding function: evaluation methods for functional genomic dataChad L Myers, Daniel R Barrett, Matthew A Hibbs, et al.
Plos One|March 8, 2013
Cell-type-specific predictive network yields novel insights into mouse embryonic stem cell self-renewal and cell fateKaren G Dowell, Allen K Simons, Zack Z Wang, et al.
Plos Computational Biology|November 19, 2010
Functional genomics complements quantitative genetics in identifying disease-gene associationsYuanfang Guan, Cheryl L Ackert-Bicknell, Braden Kell, et al.
BMC Bioinformatics|October 13, 2006
GOLEM: an interactive graph-based gene-ontology navigation and analysis toolRachel S G Sealfon, Matthew A Hibbs, Curtis Huttenhower, et al.
Bioinformatics (Oxford, England)|August 29, 2007
Exploring the functional landscape of gene expression: directed search of large microarray compendiaMatthew A Hibbs, David C Hess, Chad L Myers, et al.
Bioinformatics (Oxford, England)|June 30, 2009
The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function predictionCurtis Huttenhower, Matthew A Hibbs, Chad L Myers, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Plos One|April 16, 2026
Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotationsCole E McGuire, Matthew A Hibbs
Bonekey Reports|August 17, 2013
The need for mouse models in osteoporosis genetics researchCheryl L Ackert-Bicknell, Matthew A Hibbs
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2009
Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic dataCurtis Huttenhower, Chad L Myers, Matthew A Hibbs, et al.
BMC Bioinformatics|May 14, 2005
Visualization methods for statistical analysis of microarray clustersMatthew A Hibbs, Nathaniel C Dirksen, Kai Li, et al.
BMC Genomics|July 28, 2006
Finding function: evaluation methods for functional genomic dataChad L Myers, Daniel R Barrett, Matthew A Hibbs, et al.
Plos One|March 8, 2013
Cell-type-specific predictive network yields novel insights into mouse embryonic stem cell self-renewal and cell fateKaren G Dowell, Allen K Simons, Zack Z Wang, et al.
Plos Computational Biology|November 19, 2010
Functional genomics complements quantitative genetics in identifying disease-gene associationsYuanfang Guan, Cheryl L Ackert-Bicknell, Braden Kell, et al.
BMC Bioinformatics|October 13, 2006
GOLEM: an interactive graph-based gene-ontology navigation and analysis toolRachel S G Sealfon, Matthew A Hibbs, Curtis Huttenhower, et al.
Bioinformatics (Oxford, England)|August 29, 2007
Exploring the functional landscape of gene expression: directed search of large microarray compendiaMatthew A Hibbs, David C Hess, Chad L Myers, et al.
Bioinformatics (Oxford, England)|June 30, 2009
The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function predictionCurtis Huttenhower, Matthew A Hibbs, Chad L Myers, et al.
Pageof 3