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Peyton Greenside · SciRah

Researcher profile · Semantic Scholar

Peyton Greenside

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Peyton Greenside — researcher profile on SciRah

h-index: 22
Works: 41
Citations: 15K

Most-cited papers

Learning Important Features Through Propagating Activation Differences
A. Shrikumar, Peyton Greenside, A. Kundaje
2017International Conference on Machine Learning4,886 citations
Semantic Scholar
A Next Generation Connectivity Map: L1000 platform and the first 1,000,000 profiles
A. Subramanian, R. Narayan, Steven M. Corsello, David Peck +52 more
2017bioRxiv3,160 citations Open access
Semantic Scholar
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
M. Corces, Alexandro E. Trevino, Emily G. Hamilton, Peyton Greenside +18 more
2017Nature Methods2,227 citations Open access
Semantic Scholar
Lineage-specific and single cell chromatin accessibility charts human hematopoiesis and leukemia evolution
M. Corces, Jason D. Buenrostro, Bei-Jing Wu, Peyton Greenside +8 more
2016Nature Genetics1,051 citations Open access
Semantic Scholar
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
A. Shrikumar, Peyton Greenside, A. Shcherbina, A. Kundaje
2016arXiv.org894 citations
Semantic Scholar
Discovery of common and rare genetic risk variants for colorectal cancer
J. Huyghe, S. Bien, T. Harrison, H. Kang +195 more
2018Nature Genetics479 citations Open access
Semantic Scholar
Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements
Maxwell R. Mumbach, Ansuman T. Satpathy, E. Boyle, Chao Dai +23 more
2017Nature Genetics445 citations Open access
Semantic Scholar
Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions
F. Grubert, J. Zaugg, Maya M Kasowski, Oana Ursu +14 more
2015Cell322 citations Open access
Semantic Scholar
Landscape of cohesin-mediated chromatin loops in the human genome
F. Grubert, R. Srivas, D. Spacek, Maya M Kasowski +14 more
2020Nature182 citations Open access
Semantic Scholar
Evaluation of RNAi and CRISPR technologies by large-scale gene expression profiling in the Connectivity Map
I. Smith, Peyton Greenside, T. Natoli, D. Lahr +7 more
2017bioRxiv180 citations Open access
Semantic Scholar
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
S. Stanton, Wesley J. Maddox, N. Gruver, Phillip M. Maffettone +3 more
2022International Conference on Machine Learning154 citations Open access
Semantic Scholar
Mitigation of off-target toxicity in CRISPR-Cas9 screens for essential non-coding elements
Josh Tycko, Michael Wainberg, G. Marinov, Oana Ursu +17 more
2019Nature Communications147 citations Open access
Semantic Scholar
Molecular definition of a metastatic lung cancer state reveals a targetable CD109–Janus kinase–Stat axis
Chen-Hua Chuang, Peyton Greenside, Zoë N. Rogers, J. Brady +14 more
2017Nature Medicine146 citations Open access
Semantic Scholar
Inter-tumoral heterogeneity in SCLC is influenced by the cell-type of origin
Dian Yang, Sarah K. Denny, Peyton Greenside, Andrea C. Chaikovsky +16 more
2018Cancer Discovery134 citations Open access
Semantic Scholar
An Arntl2-driven secretome enables lung adenocarcinoma metastatic self-sufficiency
J. Brady, Chen-Hua Chuang, Peyton Greenside, Zoë N. Rogers +7 more
2016Cancer Cell98 citations Open access
Semantic Scholar
Discovering epistatic feature interactions from neural network models of regulatory DNA sequences
Peyton Greenside, Tyler C. Shimko, Polly M. Fordyce, A. Kundaje
2018bioRxiv92 citations Open access
Semantic Scholar
Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays
Rajiv Movva, Peyton Greenside, Georgi K. Marinov, Surag Nair +2 more
2018bioRxiv89 citations Open access
Semantic Scholar
Reverse-complement parameter sharing improves deep learning models for genomics
A. Shrikumar, Peyton Greenside, A. Kundaje
2017bioRxiv72 citations Open access
Semantic Scholar
Supplementary Information for Impact of regulatory variation across human iPSCs and differentiated cells
N. Banovich, Yang I. Li, Anil Raj, M. C. Ward +12 more
201771 citations
Semantic Scholar
Impact of regulatory variation across human iPSCs and differentiated cells
N. Banovich, Yang I. Li, Anil Raj, M. C. Ward +12 more
2016bioRxiv63 citations Open access
Semantic Scholar
Relating Chemical Structure to Cellular Response: An Integrative Analysis of Gene Expression, Bioactivity, and Structural Data Across 11,000 Compounds
Bin Chen, Peyton Greenside, Hyojung Paik, M. Sirota +2 more
2015CPT: Pharmacometrics & Systems Pharmacology52 citations Open access
Semantic Scholar
Effective Surrogate Models for Protein Design with Bayesian Optimization
N. Gruver, S. Stanton, P. Kirichenko, Marc Finzi +5 more
202122 citations
Semantic Scholar
Omni-ATAC-seq: Improved ATAC-seq protocol
M. Corces, Alexandro E. Trevino, Emily G. Hamilton, Peyton Greenside +18 more
201722 citations Open access
Semantic Scholar
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
A. N. Amin, N. Gruver, Yilun Kuang, Yucen Lily Li +5 more
2024arXiv.org18 citations
Semantic Scholar
Prediction of protein-ligand interactions from paired protein sequence motifs and ligand substructures
Peyton Greenside, Maureen E. Hillenmeyer, A. Kundaje
2018Pacific Symposium on Biocomputing9 citations Open access
Semantic Scholar
Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data
S. Bien, P. Auer, T. Harrison, C. Qu +35 more
2017PLoS ONE9 citations Open access
Semantic Scholar
Enhancer connectome in primary human cells reveals target genes of disease-associated DNA elements
Maxwell R. Mumbach, Ansuman T. Satpathy, E. Boyle, Chao Dai +23 more
2017bioRxiv6 citations Open access
Semantic Scholar
Generative Humanization for Therapeutic Antibodies
Cade Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott
2024arXiv.org5 citations
Semantic Scholar
Inverse Protein Folding Using Deep Bayesian Optimization
Natalie Maus, Yimeng Zeng, Daniel A. Anderson, Phillip M. Maffettone +4 more
2023arXiv.org5 citations Open access
Semantic Scholar
CrowdVariant: a crowdsourcing approach to classify copy number variants
Peyton Greenside, J. Zook, M. Salit, Madeleine L. Cule +2 more
2016bioRxiv4 citations Open access
Semantic Scholar
Identification and mitigation of pervasive off-target activity in CRISPR-Cas9 screens for essential non-coding elements
Josh Tycko, Michael Wainberg, G. Marinov, Oana Ursu +17 more
2019bioRxiv2 citations Open access
Semantic Scholar
Abstract 6922: BHB810: A novel site-specific CDH17-directed VHH-Fc ADC for gastric cancer
R. Henrici, Tim Park, Melanie Montgomery, Barbara Steurer +7 more
2026Cancer Research1 citations
Semantic Scholar
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
Vivek Myers, Peyton Greenside
2020arXiv.org1 citations
Semantic Scholar
PyBoost: A parallelized Python implementation of 2D boosting with hierarchies
Peyton Greenside, N. Hussami, Jessica K. Chang, A. Kundaje
2017bioRxiv1 citations Open access
Semantic Scholar
Abstract 4051: BHB299: An AI/ML-optimized high avidity/low affinity CEACAM6-directed T cell engager for diverse solid tumors
R. Henrici, K. Stephenson, Rima Sanyal, Melanie Montgomery +9 more
2026Cancer Research0 citations
Semantic Scholar
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences
A. N. Amin, N. Gruver, Yilun Kuang, Yucen Lily Li +5 more
2025International Conference on Learning Representations0 citations
Semantic Scholar
Abstract 4489: Using functional data from Roadmap Epigenomics to inform analysis of rare variants linked to gene expression in a large colorectal cancer study
S. Bien, T. Harrison, P. Auer, Flora Qu +27 more
20160 citations
Semantic Scholar
Prediction of Cell Line Sensitivity to Cancer Drugs
Peyton Greenside, Winston A. Haynes
20130 citations
Semantic Scholar
Speaker-specific terms and resources
A. Beck, Ankit Gupta, Anthony A. Philippakis, A. Soleimany +19 more
0 citations
Semantic Scholar
A NTIBODY D ESIGN WITH C ONSTRAINED B AYESIAN O PTIMIZATION
Yi-Meng Zeng, Hunter Elliott, Phillip M. Maffettone, Peyton Greenside +2 more
0 citations
Semantic Scholar
Fiscal Year 2020 List of Awardees
Ajit Achuthan, Matthew Gentry, Adam Beal, Peyton Greenside
0 citations
Semantic Scholar

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