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401-410 trong số 461 kết quả
Computer-aided classification of suspicious pigmented lesions using wide-field images [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2020
Bộ sưu tập: Metadata
ddc:  621.36
 
AI Meets Exascale Computing [electronic resource] : Advancing Cancer Research With Large-Scale High Performance Computin...
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  572.6
 
Classifying Cancer Pathology Reports with Hierarchical Self-Attention Networks [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  616.99
 
Heterogeneous local dynamics revealed by classification analysis of spatially disaggregated time series data [electronic...
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  630.9
 
Open Humans [electronic resource] : A platform for participant-centered research and personal data exploration
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  574.5
 
Mathematical modeling in cancer nanomedicine [electronic resource] : a review
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  616.994
 
High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
Bộ sưu tập: Metadata
ddc:  611.39
 
Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy (with Discussion) [electronic ...
Tác giả:
Xuất bản: Bethesda, Md. : Oak Ridge, Tenn: National Institutes of Health (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2019
Bộ sưu tập: Metadata
ddc:  630.5
 
Transforming Computational Drug Discovery with Machine Learning and AI [electronic resource]
Tác giả:
Xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn: Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2018
Bộ sưu tập: Metadata
ddc:  541.3
 
Ensemble docking to difficult targets in early-stage drug discovery [electronic resource] : Methodology and application ...
Tác giả:
Xuất bản: Oak Ridge, Tenn. : Oak Ridge, Tenn: Oak Ridge National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Metadata
ddc:  576
 

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