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Gigascience
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April 7, 2020
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Stephen R Piccolo, Terry J Lee, Erica Suh, et al.
Health Policy and Planning
|
April 3, 2015
Developing a holistic policy and intervention framework for global mental health
Akwatu Khenti, Stéfanie Fréel, Ruth Trainor, et al.
Cancer Cell International
|
February 23, 2019
Correction to: Membrane expression of thymidine kinase 1 and potential clinical relevance in lung, breast, and colorectal malignancies
Evita G Weagel, Weston Burrup, Roman Kovtun, et al.
Cancer Cell International
|
September 15, 2018
Membrane expression of thymidine kinase 1 and potential clinical relevance in lung, breast, and colorectal malignancies
Evita G Weagel, Weston Burrup, Roman Kovtun, et al.
Genome Biology
|
November 21, 2019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou, Yuxiang Jiang, Timothy R Bergquist, et al.
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Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Gigascience
|
April 7, 2020
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Stephen R Piccolo, Terry J Lee, Erica Suh, et al.
Health Policy and Planning
|
April 3, 2015
Developing a holistic policy and intervention framework for global mental health
Akwatu Khenti, Stéfanie Fréel, Ruth Trainor, et al.
Cancer Cell International
|
February 23, 2019
Correction to: Membrane expression of thymidine kinase 1 and potential clinical relevance in lung, breast, and colorectal malignancies
Evita G Weagel, Weston Burrup, Roman Kovtun, et al.
Cancer Cell International
|
September 15, 2018
Membrane expression of thymidine kinase 1 and potential clinical relevance in lung, breast, and colorectal malignancies
Evita G Weagel, Weston Burrup, Roman Kovtun, et al.
Genome Biology
|
November 21, 2019
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Naihui Zhou, Yuxiang Jiang, Timothy R Bergquist, et al.
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of 1