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Rick L Stevens

Showing results (21-30 of 44) with videos related to

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Journal of Clinical Microbiology|October 19, 2018
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal <i>Salmonella</i>Marcus Nguyen, S Wesley Long, Patrick F McDermott, et al.
Frontiers in Medicine|March 24, 2023
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology imagesAlexander Partin, Thomas Brettin, Yitan Zhu, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Nucleic Acids Research|October 31, 2012
Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic modelKosei Tanaka, Christopher S Henry, Jenifer F Zinner, et al.
Journal of Neurophysiology|July 28, 2006
Role of persistent sodium current in bursting activity of mouse neocortical networks in vitroWim van Drongelen, Henner Koch, Frank P Elsen, et al.
BMC Bioinformatics|May 18, 2021
Learning curves for drug response prediction in cancer cell linesAlexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|January 12, 2018
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniaeMarcus Nguyen, Thomas Brettin, S Wesley Long, et al.
BMC Bioinformatics|December 23, 2018
Predicting tumor cell line response to drug pairs with deep learningFangfang Xia, Maulik Shukla, Thomas Brettin, et al.
Plos One|October 31, 2012
SEED servers: high-performance access to the SEED genomes, annotations, and metabolic modelsRamy K Aziz, Scott Devoid, Terrence Disz, et al.
Frontiers in Microbiology|December 10, 2016
Computing and Applying Atomic Regulons to Understand Gene Expression and RegulationJosé P Faria, James J Davis, Janaka N Edirisinghe, et al.
Pageof 5

Showing results (21-30 of 44) with videos related to

Sort By:
Pageof 5
Journal of Clinical Microbiology|October 19, 2018
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal <i>Salmonella</i>Marcus Nguyen, S Wesley Long, Patrick F McDermott, et al.
Frontiers in Medicine|March 24, 2023
Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology imagesAlexander Partin, Thomas Brettin, Yitan Zhu, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Nucleic Acids Research|October 31, 2012
Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic modelKosei Tanaka, Christopher S Henry, Jenifer F Zinner, et al.
Journal of Neurophysiology|July 28, 2006
Role of persistent sodium current in bursting activity of mouse neocortical networks in vitroWim van Drongelen, Henner Koch, Frank P Elsen, et al.
BMC Bioinformatics|May 18, 2021
Learning curves for drug response prediction in cancer cell linesAlexander Partin, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|January 12, 2018
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniaeMarcus Nguyen, Thomas Brettin, S Wesley Long, et al.
BMC Bioinformatics|December 23, 2018
Predicting tumor cell line response to drug pairs with deep learningFangfang Xia, Maulik Shukla, Thomas Brettin, et al.
Plos One|October 31, 2012
SEED servers: high-performance access to the SEED genomes, annotations, and metabolic modelsRamy K Aziz, Scott Devoid, Terrence Disz, et al.
Frontiers in Microbiology|December 10, 2016
Computing and Applying Atomic Regulons to Understand Gene Expression and RegulationJosé P Faria, James J Davis, Janaka N Edirisinghe, et al.
Pageof 5