Daniel S. Himmelstein - researchr alias

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Viewing Publication 1 - 13 from 13

2022

Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstractsDavid N. Nicholson, Daniel S. Himmelstein, Casey S. Greene. biodatamining, 15(1), 2022. [doi]

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methodsJoseph 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. bioinformatics, 38(3):878-880, 2022. [doi]

2021

An Open-Publishing Response to the COVID-19 InfodemicHalie M. Rando, Simina M. Boca, Lucy D'Agostino McGowan, Daniel S. Himmelstein, Michael P. Robson, Vincent Rubinetti, Ryan Velazquez, Casey S. Greene, Anthony Gitter. JCDL 2021: 29-38 [doi]

2019

Open collaborative writing with ManubotDaniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter. ploscb, 15(6), 2019. [doi]

2016

The hetnet awakens: understanding complex diseases through data integration and open scienceDaniel S. Himmelstein. PhD thesis, University of California, San Francisco, USA, 2016. [doi]

Erratum to: Evolving hard problems: generating human genetics datasets with a complex etiologyDaniel S. Himmelstein, Casey S. Greene, Jason H. Moore. biodatamining, 9:9, 2016. [doi]

2015

iCTNet2: integrating heterogeneous biological interactions to understand complex traitsLili Wang 0005, Daniel S. Himmelstein, Adam Santaniello, Parvin Mousavi, Sergio E. Baranzini. f1000research, 4:485, 2015. [doi]

Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated GenesDaniel S. Himmelstein, Sergio E. Baranzini. ploscb, 11(7), 2015. [doi]

2011

Evolving hard problems: Generating human genetics datasets with a complex etiologyDaniel S. Himmelstein, Casey S. Greene, Jason H. Moore. biodatamining, 4:21, 2011. [doi]

2010

Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALSCasey S. Greene, Nicholas A. Sinnott-Armstrong, Daniel S. Himmelstein, Paul J. Park, Jason H. Moore, Brent T. Harris. bioinformatics, 26(5):694-695, 2010. [doi]

Enabling Personal Genomics with an Explicit Test of EpistasisCasey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore. psb 2010: 327-336 [doi]

The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human GeneticsCasey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore. evoW 2010: 182-193 [doi]

A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease RelationshipsCasey S. Greene, Daniel S. Himmelstein, Jason H. Moore. evoW 2010: 74-85 [doi]

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