Inverse Protein Folding Using Deep Bayesian Optimization.

Peyton Greenside

Natalie Maus Yimeng Zeng Daniel Allen Anderson Phillip M. Maffettone Aaron Solomon Peyton Greenside Osbert Bastani Jacob R. Gardner Inverse Protein Folding Using Deep Bayesian Optimization. 2023 abs/2305.18089 CoRR https://doi.org/10.48550/arXiv.2305.18089 db/journals/corr/corr2305.html#abs-2305-18089

Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone Emily Delaney Peyton Greenside Andrew Gordon Wilson Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. 20459-20478 2022 ICML https://proceedings.mlr.press/v162/stanton22a.html conf/icml/2022 db/conf/icml/icml2022.html#StantonMGMDGW22

Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone Emily Delaney Peyton Greenside Andrew Gordon Wilson Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. 2022 abs/2203.12742 CoRR https://doi.org/10.48550/arXiv.2203.12742 db/journals/corr/corr2203.html#abs-2203-12742

Vivek Myers Peyton Greenside A Hierarchical Approach to Scaling Batch Active Search Over Structured Data. 2020 abs/2007.10263 CoRR https://arxiv.org/abs/2007.10263 db/journals/corr/corr2007.html#abs-2007-10263

Peyton Greenside Justin M. Zook Marc Salit Madeleine L. Cule Ryan Poplin Mark A. DePristo CrowdVariant: a crowdsourcing approach to classify copy number variants. 224-235 2019 PSB http://psb.stanford.edu/psb-online/proceedings/psb19/greenside.pdf conf/psb/2019 db/conf/psb/psb2019.html#GreensideZSCPD19

Peyton Greenside Tyler Shimko Polly Fordyce Anshul Kundaje Discovering epistatic feature interactions from neural network models of regulatory DNA sequences. i629-i637 2018 34 Bioinform. 17 https://doi.org/10.1093/bioinformatics/bty575 https://www.wikidata.org/entity/Q58757865 db/journals/bioinformatics/bioinformatics34.html#GreensideSFK18

Peyton Greenside Maureen Hillenmeyer Anshul Kundaje Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures. 20-31 2018 PSB http://psb.stanford.edu/psb-online/proceedings/psb18/greenside.pdf conf/psb/2018 db/conf/psb/psb2018.html#GreensideHK18 Avanti Shrikumar Peyton Greenside Anshul Kundaje Learning Important Features Through Propagating Activation Differences. 3145-3153 2017 ICML http://proceedings.mlr.press/v70/shrikumar17a.html conf/icml/2017 db/conf/icml/icml2017.html#ShrikumarGK17

Avanti Shrikumar Peyton Greenside Anshul Kundaje Learning Important Features Through Propagating Activation Differences. 2017 abs/1704.02685 CoRR http://arxiv.org/abs/1704.02685 db/journals/corr/corr1704.html#ShrikumarGK17

Avanti Shrikumar Peyton Greenside Anna Shcherbina Anshul Kundaje Not Just a Black Box: Learning Important Features Through Propagating Activation Differences. 2016 abs/1605.01713 CoRR http://arxiv.org/abs/1605.01713 db/journals/corr/corr1605.html#ShrikumarGSK16

Daniel Allen Anderson Osbert Bastani Madeleine CuleMadeleine L. Cule Emily Delaney Mark A. DePristo Polly Fordyce Jacob R. Gardner Nate Gruver Maureen Hillenmeyer Anshul Kundaje Wesley J. Maddox Phillip M. Maffettone Natalie Maus Vivek Myers Ryan Poplin Marc Salit Anna Shcherbina Tyler Shimko Avanti Shrikumar Aaron Solomon Samuel Stanton Andrew Gordon Wilson Yimeng Zeng Justin M. Zook