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2020 – today
- 2022
[j7]David N. Nicholson
, Daniel S. Himmelstein, Casey S. Greene:
Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts. BioData Min. 15(1) (2022)- [j6]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:
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. 38(3): 878-880 (2022) - 2021
- [c4]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:
An Open-Publishing Response to the COVID-19 Infodemic. DISCO@JCDL 2021: 29-38 - [i3]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:
An Open-Publishing Response to the COVID-19 Infodemic. CoRR abs/2109.08633 (2021) - 2020
- [i2]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:
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR abs/2012.00058 (2020)
2010 – 2019
- 2019
- [j5]Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter:
Open collaborative writing with Manubot. PLoS Comput. Biol. 15(6) (2019) - 2016
- [b1]Daniel S. Himmelstein:
The hetnet awakens: understanding complex diseases through data integration and open science. University of California, San Francisco, USA, 2016 - [j4]Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore:
Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiology. BioData Min. 9: 9 (2016) - 2015
- [j3]Daniel S. Himmelstein, Sergio E. Baranzini:
Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes. PLoS Comput. Biol. 11(7) (2015) - [i1]Lili Wang, Daniel S. Himmelstein, Adam Santaniello, Parvin Mousavi, Sergio E. Baranzini:
iCTNet2: integrating heterogeneous biological interactions to understand complex traits. F1000Research 4: 485 (2015) - 2011
- [j2]Daniel S. Himmelstein, Casey S. Greene, Jason H. Moore:
Evolving hard problems: Generating human genetics datasets with a complex etiology. BioData Min. 4: 21 (2011) - 2010
- [j1]Casey S. Greene, Nicholas A. Sinnott-Armstrong, Daniel S. Himmelstein, Paul J. Park, Jason H. Moore, Brent T. Harris:
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS. Bioinform. 26(5): 694-695 (2010) - [c3]Casey S. Greene, Daniel S. Himmelstein, Jason H. Moore:
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships. EvoBIO 2010: 74-85 - [c2]Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore:
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics. EvoBIO 2010: 182-193 - [c1]Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore:
Enabling Personal Genomics with an Explicit Test of Epistasis. Pacific Symposium on Biocomputing 2010: 327-336
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