Best practices for machine learning in antibody discovery and
development

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Best practices for machine learning in antibody discovery and development

13 December 2023

Leonard Wossnig

Norbert Furtmann

Andrew Buchanan

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Papers citing "Best practices for machine learning in antibody discovery and development"

8 / 8 papers shown

Title
The choice of scaling technique matters for classification performance L. B. V. Amorim George D. C. Cavalcanti Rafael M. O. Cruz 40 152 0 23 Dec 2022
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data? R. Geiger Dominique Cope Jamie Ip Marsha Lotosh Aayush Shah Jenny Weng Rebekah Tang 42 63 0 05 Jul 2021
Ten Quick Tips for Deep Learning in Biology Benjamin D. Lee A. Gitter Casey S. Greene S. Raschka F. Maguire ... Alexandr A Kalinin T. Triche Benjamin J. Lengerich Timothy J. Triche Jr S. Boca OOD 97 27 0 29 May 2021
Protein sequence design with deep generative models Zachary Wu Kadina E. Johnston F. Arnold Kevin Kaichuang Yang 68 142 0 09 Apr 2021
Metrics for Benchmarking and Uncertainty Quantification: Quality, Applicability, and a Path to Best Practices for Machine Learning in Chemistry G. Vishwakarma Aditya Sonpal J. Hachmann 84 48 0 30 Sep 2020
Performance of regression models as a function of experiment noise Gang Li Jan Zrimec B. Ji Jun Geng J. Larsbrink Aleksej Zelezniak Jens Nielsen M. Engqvist 47 19 0 17 Dec 2019
Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity prediction Matthew C. Robinson R. Glen A. Lee 37 59 0 28 May 2019
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis A. Benavoli Giorgio Corani J. Demšar Marco Zaffalon BDL 93 424 0 14 Jun 2016