Daniel S. Himmelstein

According to our database, Daniel S. Himmelstein authored at least 13 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2021

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

Proceedings of the Workshop on Digital Infrastructures for Scholarly Content Objects (DISCO 2021) co-located with ACM/IEEE Joint Conference on Digital Libraries 2021(JCDL 2021), 2021

2019

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

2016

The hetnet awakens: understanding complex diseases through data integration and open science.

Daniel S. Himmelstein

PhD thesis, 2016

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

2015

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.

Daniel S. Himmelstein, Sergio E. Baranzini

PLoS Comput. Biol., 2015

iCTNet2: integrating heterogeneous biological interactions to understand complex traits.

Lili Wang, Daniel S. Himmelstein, Adam Santaniello, Parvin Mousavi, Sergio E. Baranzini

F1000Research, 2015

2011

Evolving hard problems: Generating human genetics datasets with a complex etiology.

Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore

BioData Min., 2011

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

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

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.

Casey S. Greene, Daniel S. Himmelstein, Jason H. Moore

Proceedings of the Evolutionary Computation, 2010

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

Proceedings of the Evolutionary Computation, 2010