Daniel S. Himmelstein

15 papers Misc 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2022 J jnl
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts.
BioData Min.
David N. Nicholson, Daniel S. Himmelstein, Casey S. Greene
2022 J jnl
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods.
Bioinform.
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
2021 — conf
An Open-Publishing Response to the COVID-19 Infodemic.
DISCO@JCDL
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
2021 J jnl
An Open-Publishing Response to the COVID-19 Infodemic.
CoRR
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
2020 J jnl
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods.
CoRR
Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
2019 J jnl
Open collaborative writing with Manubot.
PLoS Comput. Biol.
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
2016 J jnl
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology.
BioData Min.
Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore
2016 — —
The hetnet awakens: understanding complex diseases through data integration and open science.
Daniel S. Himmelstein
2015 J jnl
Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes.
PLoS Comput. Biol.
Daniel S. Himmelstein, Sergio E. Baranzini
2015 J jnl
iCTNet2: integrating heterogeneous biological interactions to understand complex traits.
F1000Research
Lili Wang, Daniel S. Himmelstein, Adam Santaniello, Parvin Mousavi, Sergio E. Baranzini
2011 J jnl
Evolving hard problems: Generating human genetics datasets with a complex etiology.
BioData Min.
Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore
2010 — conf
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.
EvoBIO
Casey S. Greene, Daniel S. Himmelstein, Jason H. Moore
2010 Misc conf
Enabling Personal Genomics with an Explicit Test of Epistasis.
Pacific Symposium on Biocomputing
Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2010 J jnl
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
Bioinform.
Casey S. Greene, Nicholas A. Sinnott-Armstrong, Daniel S. Himmelstein, Paul J. Park, Jason H. Moore, Brent T. Harris
2010 — conf
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.
EvoBIO
Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore