Artículos con órdenes de acceso público - Casey S. GreeneMás información
TotalNIHGBMFNSFAlex's Lemonade StandDoDNSERCMRCCIHRCZIDOEHHMIAHANHMRCBBSRCCancer Research UKEuropean CommissionARCAcademy of FinlandNIHRWellcomeGobierno de EspañaSNSFNASAUSDANSFCDFGMSFHRChildren's Tumor Foundation, USAGatesVAINSERMDBTAlzheimers's UKBHFParkinson's UKBMBFGovernment of ItalyDamon Runyon Cancer Research FoundationCPRIT
No disponibles en ningún lugar: 10
Ant colony optimization for genome-wide genetic analysis
CS Greene, BC White, JH Moore
International Conference on Ant Colony Optimization and Swarm Intelligence …, 2008
Órdenes: US National Institutes of Health
Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units
NA Sinnott-Armstrong, CS Greene, JH Moore
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010
Órdenes: US National Institutes of Health
Identification of novel genetic models of glaucoma using the “EMERGENT” genetic programming-based artificial intelligence system
JH Moore, CS Greene, DP Hill
Genetic Programming Theory and Practice XII, 17-35, 2015
Órdenes: US National Institutes of Health
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system
CS Greene, DP Hill, JH Moore
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
Órdenes: US National Institutes of Health
A model free method to generate human genetics datasets with complex gene-disease relationships
CS Greene, DS Himmelstein, JH Moore
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2010
Órdenes: US National Institutes of Health
Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: theoretical assessment of wrapper vs. filter approaches
CS Greene, J Kiralis, JH Moore
IEEE Congress on Evolutionary Computation, 2009. CEC'09., 800-807, 2009
Órdenes: US National Institutes of Health
Solving complex problems in human genetics using gp: challenges and opportunities
CS Greene, JH Moore
ACM SIGEVOlution 3 (2), 2-8, 2008
Órdenes: US National Institutes of Health
Time-point specific weighting improves coexpression networks from time-course experiments
J Tan, GD Grant, ML Whitfield, CS Greene
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2013
Órdenes: US National Institutes of Health
An open-ended computational evolution strategy for evolving parsimonious solutions to human genetics problems
CS Greene, DP Hill, JH Moore
European Conference on Artificial Life, 313-320, 2009
Órdenes: US National Institutes of Health
Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture
AL Tyler, BC White, CS Greene, PC Andrews, R Cowper-Sallari, ...
2009 IEEE Congress on Evolutionary Computation, 2907-2912, 2009
Órdenes: US National Institutes of Health
Disponibles en algún lugar: 173
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
Órdenes: US National Institutes of Health
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
Órdenes: US National Science Foundation, US National Institutes of Health, Howard …
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
Órdenes: US Department of Defense, US National Institutes of Health
Understanding multicellular function and disease with human tissue-specific networks
CS Greene, A Krishnan, AK Wong, E Ricciotti, RA Zelaya, ...
Nature Genetics, 2015
Órdenes: US National Institutes of Health
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
Órdenes: US Department of Defense, US National Institutes of Health, Gordon and Betty …
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
Órdenes: US National Science Foundation, US Department of Energy, Swiss National …
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
Órdenes: US National Science Foundation, Swiss National Science Foundation, US …
Transparency and reproducibility in artificial intelligence
B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ...
Nature 586 (7829), E14-E16, 2020
Órdenes: US National Institutes of Health, UK Biotechnology and Biological Sciences …
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
Órdenes: US National Institutes of Health, Canadian Institutes of Health Research …
Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders
GP Way, CS Greene
Pacific Symposium on Biocomputing, 174474, 2017
Órdenes: US National Institutes of Health
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