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Casey S. Greene
Casey S. Greene
Biomedical Informatics; Center for Health AI; University of Colorado Anschutz Medical
Verified email at cuanschutz.edu - Homepage
Title
Cited by
Cited by
Year
Oncogenic signaling pathways in the cancer genome atlas
F Sanchez-Vega, M Mina, J Armenia, WK Chatila, A Luna, KC La, ...
Cell 173 (2), 321-337. e10, 2018
24912018
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
20192018
Genomic and molecular landscape of DNA damage repair deficiency across the cancer genome atlas
TA Knijnenburg, L Wang, MT Zimmermann, N Chambwe, GF Gao, ...
Cell reports 23 (1), 239-254. e6, 2018
9222018
Understanding multicellular function and disease with human tissue-specific networks
CS Greene, A Krishnan, AK Wong, E Ricciotti, RA Zelaya, ...
Nature Genetics, 2015
8672015
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, T Ronnen Oron, WT Clark, AR Bankapur, D D'Andrea, R Lepore, ...
Genome Biology 17 (184), 2016
4142016
Privacy-preserving generative deep neural networks support clinical data sharing
BK Beaulieu-Jones, ZS Wu, C Williams, R Lee, SP Bhavnani, JB Byrd, ...
Circulation: Cardiovascular Quality and Outcomes 12 (7), e005122, 2019
4112019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
3582019
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ...
Nature 586 (7829), E14-E16, 2020
3492020
International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways
HJ Cordell, Y Han, GF Mells, Y Li, GM Hirschfield, CS Greene, G Xie, ...
Nature communications 6 (1), 8019, 2015
3092015
Failure to replicate a genetic association may provide important clues about genetic architecture
CS Greene, NM Penrod, SM Williams, JH Moore
PloS one 4 (6), e5639, 2009
2842009
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
GP Way, CS Greene
Pacific Symposium on Biocomputing, 174474, 2017
2772017
Big Data Bioinformatics
CS Greene, J Tan, M Ung, JH Moore, C Cheng
Journal of Cellular Physiology, 2014
2592014
Sci-Hub provides access to nearly all scholarly literature
DS Himmelstein, AR Romero, JG Levernier, TA Munro, SR McLaughlin, ...
ELife 7, e32822, 2018
2542018
Defining cell-type specificity at the transcriptional level in human disease
W Ju, CS Greene, F Eichinger, V Nair, JB Hodgin, M Bitzer, Y Lee, Q Zhu, ...
Genome research 23 (11), 1862-1873, 2013
2392013
Enter the matrix: factorization uncovers knowledge from omics
GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ...
Trends in Genetics 34 (10), 790-805, 2018
2252018
Constructing knowledge graphs and their biomedical applications
DN Nicholson, CS Greene
Computational and structural biotechnology journal 18, 1414-1428, 2020
2042020
Semi-supervised learning of the electronic health record for phenotype stratification
BK Beaulieu-Jones, CS Greene
Journal of biomedical informatics 64, 168-178, 2016
1992016
Recent advances and emerging applications in text and data mining for biomedical discovery
GH Gonzalez, T Tahsin, BC Goodale, AC Greene, CS Greene
Briefings in bioinformatics 17 (1), 33-42, 2016
1932016
UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS
JIE TAN, M UNG, C CHENG, CS GREENE
Pacific Symposium on Biocomputing, 2015
1742015
Spatially uniform relieff (SURF) for computationally-efficient filtering of gene-gene interactions
CS Greene, NM Penrod, J Kiralis, JH Moore
BioData mining 2, 1-9, 2009
1742009
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Articles 1–20