The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics. - Casey S. Greene; Daniel S. Himmelstein; Jeff Kiralis; Jason H. Moore (EvoBIO, 2010)

A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships. - Casey S. Greene; Daniel S. Himmelstein; Jason H. Moore (EvoBIO, 2010)

Enabling Personal Genomics with an Explicit Test of Epistasis. - Casey S. Greene; Daniel S. Himmelstein; Heather H. Nelson; Karl T. Kelsey; Scott M. Williams; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (Pacific Symposium on Biocomputing, 2010)

Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS. - Casey S. Greene; Nicholas A. Sinnott-Armstrong; Daniel S. Himmelstein; Paul J. Park; Jason H. Moore; Brent T. Harris (Bioinform., 2010)

Evolving hard problems: Generating human genetics datasets with a complex etiology. - Daniel S. Himmelstein; Casey S. Greene; Jason H. Moore (BioData Min., 2011)

iCTNet2: integrating heterogeneous biological interactions to understand complex traits. - Lili Wang 005; Daniel S. Himmelstein; Adam Santaniello; Parvin Mousavi; Sergio E. Baranzini (F1000Research, 2015)

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes. - Daniel S. Himmelstein; Sergio E. Baranzini (PLoS Comput. Biol., 2015)

Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology. - Daniel S. Himmelstein; Casey S. Greene; Jason H. Moore (BioData Min., 2016)

The hetnet awakens: understanding complex diseases through data integration and open science. - Daniel S. Himmelstein (2016)

Open collaborative writing with Manubot. - Daniel S. Himmelstein; Vincent Rubinetti; David R. Slochower; Dongbo Hu; Venkat S. Malladi; Casey S. Greene; Anthony Gitter (PLoS Comput. Biol., 2019)

An Open-Publishing Response to the COVID-19 Infodemic. - Halie M. Rando; Simina M. Boca; Lucy D'Agostino McGowan; Daniel S. Himmelstein; Michael P. Robson; Vincent Rubinetti; Ryan Velazquez; Casey S. Greene; Anthony Gitter (DISCO@JCDL, 2021)

Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts. - David N. Nicholson; Daniel S. Himmelstein; Casey S. Greene (BioData Min., 2022)

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. - Joseph D. Romano; Trang T. Le; William G. La Cava; John T. Gregg; Daniel J. Goldberg; Praneel Chakraborty; Natasha L. Ray; Daniel S. Himmelstein; Weixuan Fu; Jason H. Moore (Bioinform., 2022)