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Practical Model Selection for Prospective Virtual Screening.
Liu S, Alnammi M, Ericksen SS, Voter AF, Ananiev GE, Keck JL, Hoffmann FM, Wildman SA, Gitter A. Liu S, et al. Among authors: gitter a. J Chem Inf Model. 2019 Jan 28;59(1):282-293. doi: 10.1021/acs.jcim.8b00363. Epub 2018 Dec 18. J Chem Inf Model. 2019. PMID: 30500183 Free PMC article.
Predicting kinase inhibitors using bioactivity matrix derived informer sets.
Zhang H, Ericksen SS, Lee CP, Ananiev GE, Wlodarchak N, Yu P, Mitchell JC, Gitter A, Wright SJ, Hoffmann FM, Wildman SA, Newton MA. Zhang H, et al. Among authors: gitter a. PLoS Comput Biol. 2019 Aug 5;15(8):e1006813. doi: 10.1371/journal.pcbi.1006813. eCollection 2019 Aug. PLoS Comput Biol. 2019. PMID: 31381559 Free PMC article.
Bayes optimal informer sets for early-stage drug discovery.
Yu P, Ericksen S, Gitter A, Newton MA. Yu P, et al. Among authors: gitter a. Biometrics. 2023 Jun;79(2):642-654. doi: 10.1111/biom.13637. Epub 2022 Mar 25. Biometrics. 2023. PMID: 35165892 Free PMC article.
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.
Wang ZJ, Walsh AJ, Skala MC, Gitter A. Wang ZJ, et al. Among authors: gitter a. J Biophotonics. 2020 Mar;13(3):e201960050. doi: 10.1002/jbio.201960050. Epub 2019 Dec 15. J Biophotonics. 2020. PMID: 31661592 Free PMC article.
Autofluorescence imaging can distinguish T cell activity states in a non-destructive manner by detecting endogenous changes in metabolic co-enzymes such as NAD(P)H. ...Our image processing and classifier training software is available at https://github.com/gitter-la …
Autofluorescence imaging can distinguish T cell activity states in a non-destructive manner by detecting endogenous changes in metabo …
An approachable, flexible and practical machine learning workshop for biologists.
Magnano CS, Mu F, Russ RS, Cvetkovic M, Treu D, Gitter A. Magnano CS, et al. Among authors: gitter a. Bioinformatics. 2022 Jun 24;38(Suppl 1):i10-i18. doi: 10.1093/bioinformatics/btac233. Bioinformatics. 2022. PMID: 35758797 Free PMC article.
SUMMARY: The increasing prevalence and importance of machine learning in biological research have created a need for machine learning training resources tailored towards biological researchers. ...We created the Machine Learning for Biologists (ML4Bio) workshop, a s …
SUMMARY: The increasing prevalence and importance of machine learning in biological research have created a need for machine learning …
177 results