Daniel S. Himmelstein
Daniel S. Himmelstein
Related Sciences
Overená e-mailová adresa na: - Domovská stránka
Citované v
Citované v
Opportunities and obstacles for deep learning in biology and medicine
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...
Journal of the royal society interface 15 (141), 20170387, 2018
Understanding multicellular function and disease with human tissue-specific networks
CS Greene, A Krishnan, AK Wong, E Ricciotti, RA Zelaya, ...
Nature genetics 47 (6), 569-576, 2015
Systematic integration of biomedical knowledge prioritizes drugs for repurposing
DS Himmelstein, A Lizee, C Hessler, L Brueggeman, SL Chen, D Hadley, ...
Elife 6, e26726, 2017
Sci-Hub provides access to nearly all scholarly literature
DS Himmelstein, AR Romero, JG Levernier, TA Munro, SR McLaughlin, ...
ELife 7, e32822, 2018
Heterogeneous network edge prediction: a data integration approach to prioritize disease-associated genes
DS Himmelstein, SE Baranzini
PLoS computational biology 11 (7), e1004259, 2015
Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS
CS Greene, NA Sinnott-Armstrong, DS Himmelstein, PJ Park, JH Moore, ...
Bioinformatics 26 (5), 694-695, 2010
Association of HLA genetic risk burden with disease phenotypes in multiple sclerosis
N Isobe, A Keshavan, PA Gourraud, AH Zhu, E Datta, R Schlaeger, ...
JAMA neurology 73 (7), 795-802, 2016
PMLB v1. 0: an open-source dataset collection for benchmarking machine learning methods
JD Romano, TT Le, W La Cava, JT Gregg, DJ Goldberg, P Chakraborty, ...
Bioinformatics 38 (3), 878-880, 2022
Open collaborative writing with Manubot
DS Himmelstein, V Rubinetti, DR Slochower, D Hu, VS Malladi, ...
PLoS computational biology 15 (6), e1007128, 2019
Is authorship sufficient for today’s collaborative research? A call for contributor roles
NA Vasilevsky, M Hosseini, S Teplitzky, V Ilik, E Mohammadi, J Schneider, ...
Accountability in Research 28 (1), 23-43, 2021
Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations
GP Way, M Zietz, V Rubinetti, DS Himmelstein, CS Greene
Genome biology 21, 1-27, 2020
Enabling personal genomics with an explicit test of epistasis
CS Greene, DS Himmelstein, HH Nelson, KT Kelsey, SM Williams, ...
Biocomputing 2010, 327-336, 2010
The informative extremes: using both nearest and farthest individuals can improve relief algorithms in the domain of human genetics
CS Greene, DS Himmelstein, J Kiralis, JH Moore
European conference on evolutionary computation, machine learning and data …, 2010
Precision annotation of digital samples in NCBI’s gene expression omnibus
D Hadley, J Pan, O El-Sayed, J Aljabban, I Aljabban, TD Azad, ...
Scientific data 4 (1), 1-11, 2017
Lung cancer incidence decreases with elevation: evidence for oxygen as an inhaled carcinogen
KP Simeonov, DS Himmelstein
PeerJ 3, e705, 2015
Mondo: Unifying diseases for the world, by the world
NA Vasilevsky, NA Matentzoglu, S Toro, JE Flack IV, H Hegde, DR Unni, ...
medRxiv, 2022.04. 13.22273750, 2022
Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E
T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ...
Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, Christopher A …, 2018
iCTNet2: integrating heterogeneous biological interactions to understand complex traits
L Wang, DS Himmelstein, A Santaniello, M Parvin, SE Baranzini
F1000Research 4, 2015
Meta-analysis of genome-wide association studies reveals genetic overlap between Hodgkin lymphoma and multiple sclerosis
P Khankhanian, W Cozen, DS Himmelstein, L Madireddy, L Din, ...
International Journal of Epidemiology 45 (3), 728-740, 2016
Evolving hard problems: generating human genetics datasets with a complex etiology
DS Himmelstein, CS Greene, JH Moore
BioData mining 4, 1-13, 2011
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20