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Thomas Brettin

Showing results (11-20 of 115) with videos related to

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Genes|September 16, 2020
Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction ModelsYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|June 1, 2021
Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Scientific Reports|October 23, 2020
Ensemble transfer learning for the prediction of anti-cancer drug responseYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|July 2, 2021
Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Standards in Genomic Sciences|February 7, 2014
Complete genome sequence of Arthrobacter sp. strain FB24Cindy H Nakatsu, Ravi Barabote, Sue Thompson, et al.
Mbio|May 18, 2017
Population Genomic Analysis of 1,777 Extended-Spectrum Beta-Lactamase-Producing <i>Klebsiella pneumoniae</i> Isolates, Houston, Texas: Unexpected Abundance of Clonal Group 307S Wesley Long, Randall J Olsen, Todd N Eagar, et al.
Metabolic Engineering Communications|July 12, 2023
Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learningPaul Hanke, Bruce Parrello, Olga Vasieva, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, 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.
Pageof 12

Showing results (11-20 of 115) with videos related to

Sort By:
Pageof 12
Genes|September 16, 2020
Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction ModelsYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|June 1, 2021
Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Scientific Reports|October 23, 2020
Ensemble transfer learning for the prediction of anti-cancer drug responseYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|July 2, 2021
Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Standards in Genomic Sciences|February 7, 2014
Complete genome sequence of Arthrobacter sp. strain FB24Cindy H Nakatsu, Ravi Barabote, Sue Thompson, et al.
Mbio|May 18, 2017
Population Genomic Analysis of 1,777 Extended-Spectrum Beta-Lactamase-Producing <i>Klebsiella pneumoniae</i> Isolates, Houston, Texas: Unexpected Abundance of Clonal Group 307S Wesley Long, Randall J Olsen, Todd N Eagar, et al.
Metabolic Engineering Communications|July 12, 2023
Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learningPaul Hanke, Bruce Parrello, Olga Vasieva, et al.
Cancers|January 11, 2024
Integration of Computational Docking into Anti-Cancer Drug Response Prediction ModelsOleksandr Narykov, Yitan Zhu, Thomas Brettin, 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.
Pageof 12