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Stefan R Maetschke

Showing results (1-10 of 12) with videos related to

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BMC Bioinformatics|October 20, 2009
Exploiting structural and topological information to improve prediction of RNA-protein binding sitesStefan R Maetschke, Zheng Yuan
Bioinformatics (Oxford, England)|January 11, 2014
Characterizing cancer subtypes as attractors of Hopfield networksStefan R Maetschke, Mark A Ragan
Bioinformatics (Oxford, England)|January 6, 2012
Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profilingMartin Simonsen, Stefan R Maetschke, Mark A Ragan
Bioinformatics (Oxford, England)|November 8, 2011
Gene Ontology-driven inference of protein-protein interactions using inducersStefan R Maetschke, Martin Simonsen, Melissa J Davis, et al.
BMC Bioinformatics|February 26, 2014
RMaNI: Regulatory Module Network Inference frameworkPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Briefings in Bioinformatics|May 24, 2013
Supervised, semi-supervised and unsupervised inference of gene regulatory networksStefan R Maetschke, Piyush B Madhamshettiwar, Melissa J Davis, et al.
Cancer Informatics|March 22, 2014
INsPeCT: INtegrative Platform for Cancer TranscriptomicsPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Genome Medicine|May 3, 2012
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targetsPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Journal of Clinical Bioinformatics|December 11, 2012
mCOPA: analysis of heterogeneous features in cancer expression dataChenwei Wang, Alperen Taciroglu, Stefan R Maetschke, et al.
Ophthalmology. Glaucoma|August 23, 2020
Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural NetworksHsin-Hao Yu, Stefan R Maetschke, Bhavna J Antony, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
BMC Bioinformatics|October 20, 2009
Exploiting structural and topological information to improve prediction of RNA-protein binding sitesStefan R Maetschke, Zheng Yuan
Bioinformatics (Oxford, England)|January 11, 2014
Characterizing cancer subtypes as attractors of Hopfield networksStefan R Maetschke, Mark A Ragan
Bioinformatics (Oxford, England)|January 6, 2012
Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profilingMartin Simonsen, Stefan R Maetschke, Mark A Ragan
Bioinformatics (Oxford, England)|November 8, 2011
Gene Ontology-driven inference of protein-protein interactions using inducersStefan R Maetschke, Martin Simonsen, Melissa J Davis, et al.
BMC Bioinformatics|February 26, 2014
RMaNI: Regulatory Module Network Inference frameworkPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Briefings in Bioinformatics|May 24, 2013
Supervised, semi-supervised and unsupervised inference of gene regulatory networksStefan R Maetschke, Piyush B Madhamshettiwar, Melissa J Davis, et al.
Cancer Informatics|March 22, 2014
INsPeCT: INtegrative Platform for Cancer TranscriptomicsPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Genome Medicine|May 3, 2012
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targetsPiyush B Madhamshettiwar, Stefan R Maetschke, Melissa J Davis, et al.
Journal of Clinical Bioinformatics|December 11, 2012
mCOPA: analysis of heterogeneous features in cancer expression dataChenwei Wang, Alperen Taciroglu, Stefan R Maetschke, et al.
Ophthalmology. Glaucoma|August 23, 2020
Estimating Global Visual Field Indices in Glaucoma by Combining Macula and Optic Disc OCT Scans Using 3-Dimensional Convolutional Neural NetworksHsin-Hao Yu, Stefan R Maetschke, Bhavna J Antony, et al.
Pageof 2