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BioData mining

Showing results (591-600 of 672) with videos related to

Pageof 68
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Biodata Mining|July 7, 2023
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysisJiYoon Park, Jae Won Lee, Mira Park
Biodata Mining|February 8, 2019
Predicting opioid dependence from electronic health records with machine learningRandall J Ellis, Zichen Wang, Nicholas Genes, et al.
Biodata Mining|September 1, 2020
Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver diseaseQichao Hu, Shizhang Wei, Jianxia Wen, et al.
Biodata Mining|October 21, 2020
Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacologyWen-Jiang Zheng, Qian Yan, Yong-Shi Ni, et al.
Biodata Mining|August 29, 2014
Computational genetics analysis of grey matter density in Alzheimer's diseaseAmanda L Zieselman, Jonathan M Fisher, Ting Hu, et al.
Biodata Mining|January 16, 2016
Iteratively refining breast cancer intrinsic subtypes in the METABRIC datasetHeloisa H Milioli, Renato Vimieiro, Inna Tishchenko, et al.
Biodata Mining|January 7, 2016
A call for biological data mining approaches in epidemiologyShannon M Lynch, Jason H Moore
Biodata Mining|December 23, 2015
Network construction and structure detection with metagenomic count dataZhenqiu Liu, Shili Lin, Steven Piantadosi
Biodata Mining|December 24, 2015
Non-coding yet non-trivial: a review on the computational genomics of lincRNAsTravers Ching, Jayson Masaki, Jason Weirather, et al.
Biodata Mining|October 4, 2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative studyMagnus Lekman, Ola Hössjer, Peter Andrews, et al.
Pageof 68

Showing results (591-600 of 672) with videos related to

Sort By:
Pageof 68
Biodata Mining|July 7, 2023
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysisJiYoon Park, Jae Won Lee, Mira Park
Biodata Mining|February 8, 2019
Predicting opioid dependence from electronic health records with machine learningRandall J Ellis, Zichen Wang, Nicholas Genes, et al.
Biodata Mining|September 1, 2020
Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver diseaseQichao Hu, Shizhang Wei, Jianxia Wen, et al.
Biodata Mining|October 21, 2020
Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacologyWen-Jiang Zheng, Qian Yan, Yong-Shi Ni, et al.
Biodata Mining|August 29, 2014
Computational genetics analysis of grey matter density in Alzheimer's diseaseAmanda L Zieselman, Jonathan M Fisher, Ting Hu, et al.
Biodata Mining|January 16, 2016
Iteratively refining breast cancer intrinsic subtypes in the METABRIC datasetHeloisa H Milioli, Renato Vimieiro, Inna Tishchenko, et al.
Biodata Mining|January 7, 2016
A call for biological data mining approaches in epidemiologyShannon M Lynch, Jason H Moore
Biodata Mining|December 23, 2015
Network construction and structure detection with metagenomic count dataZhenqiu Liu, Shili Lin, Steven Piantadosi
Biodata Mining|December 24, 2015
Non-coding yet non-trivial: a review on the computational genomics of lincRNAsTravers Ching, Jayson Masaki, Jason Weirather, et al.
Biodata Mining|October 4, 2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative studyMagnus Lekman, Ola Hössjer, Peter Andrews, et al.
Pageof 68