Works matching AU Partin, Alexander

Results: 17

Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction Models.

Published in:

Genes, 2020, v. 11, n. 9, p. 1070, doi. 10.3390/genes11091070

By:

Zhu, Yitan;
Brettin, Thomas;
Evrard, Yvonne A.;
Xia, Fangfang;
Partin, Alexander;
Shukla, Maulik;
Yoo, Hyunseung;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Article

Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networks.

Published in:

2021

By:

Zhu, Yitan;
Brettin, Thomas;
Xia, Fangfang;
Partin, Alexander;
Shukla, Maulik;
Yoo, Hyunseung;
Evrard, Yvonne A.;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Correction Notice

Geometric parameters that affect the behavior of logic-gated CAR T cells.

Published in:

Frontiers in Immunology, 2024, p. 1, doi. 10.3389/fimmu.2024.1304765

By:

Partin, Alexander C.;
Bruno, Richele;
Shafaattalab, Sanam;
Mause, Erica Vander;
Winters, Aaron;
Daris, Mark;
Gahrs, Casey;
Jette, Claudia A.;
DiAndreth, Breanna;
Sandberg, Mark L.;
Hamburger, Agnes E.;
Kamb, Alexander;
Riley, Timothy P.

Publication type:

Article

Publisher Correction: Heme enables proper positioning of Drosha and DGCR8 on primary microRNAs.

Published in:

Nature Communications, 2018, v. 9, n. 1, p. 1, doi. 10.1038/s41467-018-06426-4

By:

Partin, Alexander C.;
Ngo, Tri D.;
Herrell, Emily;
Jeong, Byung-Cheon;
Hon, Gary;
Nam, Yunsun

Publication type:

Article

Preconditioning-induced CXCL12 upregulation minimizes leukocyte infiltration after stroke in ischemia-tolerant mice.

Published in:

Journal of Cerebral Blood Flow & Metabolism, 2017, v. 37, n. 3, p. 801, doi. 10.1177/0271678X16639327

By:

Selvaraj, Uma Maheswari;
Ortega, Sterling B.;
Ruilong Hu;
Gilchrist, Robert;
Xiangmei Kong;
Partin, Alexander;
Plautz, Erik J.;
Klein, Robyn S.;
Gidday, Jeffrey M.;
Stowe, Ann M.

Publication type:

Article

Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting.

Published in:

Briefings in Bioinformatics, 2025, v. 26, n. 2, p. 1, doi. 10.1093/bib/bbaf134

By:

Narykov, Oleksandr;
Zhu, Yitan;
Brettin, Thomas;
Evrard, Yvonne A;
Partin, Alexander;
Xia, Fangfang;
Shukla, Maulik;
Vasanthakumari, Priyanka;
Doroshow, James H;
Stevens, Rick L

Publication type:

Article

cross-study analysis of drug response prediction in cancer cell lines.

Published in:

Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab356

By:

Xia, Fangfang;
Allen, Jonathan;
Balaprakash, Prasanna;
Brettin, Thomas;
Garcia-Cardona, Cristina;
Clyde, Austin;
Cohn, Judith;
Doroshow, James;
Duan, Xiaotian;
Dubinkina, Veronika;
Evrard, Yvonne;
Fan, Ya Ju;
Gans, Jason;
He, Stewart;
Lu, Pinyi;
Maslov, Sergei;
Partin, Alexander;
Shukla, Maulik;
Stahlberg, Eric;
Wozniak, Justin M

Publication type:

Article

Converting tabular data into images for deep learning with convolutional neural networks.

Published in:

Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-90923-y

By:

Zhu, Yitan;
Brettin, Thomas;
Xia, Fangfang;
Partin, Alexander;
Shukla, Maulik;
Yoo, Hyunseung;
Evrard, Yvonne A.;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Article

Ensemble transfer learning for the prediction of anti-cancer drug response.

Published in:

Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-74921-0

By:

Zhu, Yitan;
Brettin, Thomas;
Evrard, Yvonne A.;
Partin, Alexander;
Xia, Fangfang;
Shukla, Maulik;
Yoo, Hyunseung;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Article

A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug Screening.

Published in:

Cancers, 2024, v. 16, n. 3, p. 530, doi. 10.3390/cancers16030530

By:

Vasanthakumari, Priyanka;
Zhu, Yitan;
Brettin, Thomas;
Partin, Alexander;
Shukla, Maulik;
Xia, Fangfang;
Narykov, Oleksandr;
Weil, Michael Ryan;
Stevens, Rick L.

Publication type:

Article

Integration of Computational Docking into Anti-Cancer Drug Response Prediction Models.

Published in:

Cancers, 2024, v. 16, n. 1, p. 50, doi. 10.3390/cancers16010050

By:

Narykov, Oleksandr;
Zhu, Yitan;
Brettin, Thomas;
Evrard, Yvonne A.;
Partin, Alexander;
Shukla, Maulik;
Xia, Fangfang;
Clyde, Austin;
Vasanthakumari, Priyanka;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Article

Enhancing the Prefusion Conformational Stability of SARS-CoV-2 Spike Protein Through Structure-Guided Design.

Published in:

Frontiers in Immunology, 2021, v. 11, p. N.PAG, doi. 10.3389/fimmu.2021.660198

By:

Riley, Timothy P.;
Chou, Hui-Ting;
Hu, Ruozhen;
Bzymek, Krzysztof P.;
Correia, Ana R.;
Partin, Alexander C.;
Li, Danqing;
Gong, Danyang;
Wang, Zhulun;
Yu, Xinchao;
Manzanillo, Paolo;
Garces, Fernando

Publication type:

Article

Heme enables proper positioning of Drosha and DGCR8 on primary microRNAs.

Published in:

Nature Communications, 2017, v. 8, n. 1, p. 1, doi. 10.1038/s41467-017-01713-y

By:

Partin, Alexander C.;
Ngo, Tri D.;
Herrell, Emily;
Jeong, Byung-Cheon;
Hon, Gary;
Nam, Yunsun

Publication type:

Article

AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28785-9

By:

Clyde, Austin;
Liu, Xuefeng;
Brettin, Thomas;
Yoo, Hyunseung;
Partin, Alexander;
Babuji, Yadu;
Blaiszik, Ben;
Mohd-Yusof, Jamaludin;
Merzky, Andre;
Turilli, Matteo;
Jha, Shantenu;
Ramanathan, Arvind;
Stevens, Rick

Publication type:

Article

AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28785-9

By:

Clyde, Austin;
Liu, Xuefeng;
Brettin, Thomas;
Yoo, Hyunseung;
Partin, Alexander;
Babuji, Yadu;
Blaiszik, Ben;
Mohd-Yusof, Jamaludin;
Merzky, Andre;
Turilli, Matteo;
Jha, Shantenu;
Ramanathan, Arvind;
Stevens, Rick

Publication type:

Article

AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection.

Published in:

Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-28785-9

By:

Clyde, Austin;
Liu, Xuefeng;
Brettin, Thomas;
Yoo, Hyunseung;
Partin, Alexander;
Babuji, Yadu;
Blaiszik, Ben;
Mohd-Yusof, Jamaludin;
Merzky, Andre;
Turilli, Matteo;
Jha, Shantenu;
Ramanathan, Arvind;
Stevens, Rick

Publication type:

Article

Learning curves for drug response prediction in cancer cell lines.

Published in:

BMC Bioinformatics, 2021, v. 22, p. 1, doi. 10.1186/s12859-021-04163-y

By:

Partin, Alexander;
Brettin, Thomas;
Evrard, Yvonne A.;
Zhu, Yitan;
Yoo, Hyunseung;
Xia, Fangfang;
Jiang, Songhao;
Clyde, Austin;
Shukla, Maulik;
Fonstein, Michael;
Doroshow, James H.;
Stevens, Rick L.

Publication type:

Article