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BioData mining

Showing results (421-430 of 671) with videos related to

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Biodata Mining|August 30, 2019
RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T<sub>1-3</sub>N<sub>0-2</sub> M<sub>0</sub> non-small cell lung cancerYunkui Zhang, YaoChen Li, Rongsheng Zhang, et al.
Biodata Mining|January 30, 2021
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactionsAlena Orlenko, Jason H Moore
Biodata Mining|January 20, 2021
LightCUD: a program for diagnosing IBD based on human gut microbiome dataCongmin Xu, Man Zhou, Zhongjie Xie, et al.
Biodata Mining|January 24, 2021
Empowering the data science scientistJason H Moore
Biodata Mining|February 16, 2021
DASSI: differential architecture search for splice identification from DNA sequencesShabir Moosa, Prof Abbes Amira, Dr Sabri Boughorbel
Biodata Mining|February 5, 2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluationDavide Chicco, Niklas Tötsch, Giuseppe Jurman
Biodata Mining|October 28, 2016
Developing a modular architecture for creation of rule-based clinical diagnostic criteriaNa Hong, Jyotishman Pathak, Christopher G Chute, et al.
Biodata Mining|February 28, 2017
Variant Set Enrichment: an R package to identify disease-associated functional genomic regionsMusaddeque Ahmed, Richard C Sallari, Haiyang Guo, et al.
Biodata Mining|December 30, 2016
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literatureArzucan Özgür, Junguk Hur, Yongqun He
Biodata Mining|February 14, 2017
Elevated transcriptional levels of aldolase A (ALDOA) associates with cell cycle-related genes in patients with NSCLC and several solid tumorsFan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, et al.
Pageof 68

Showing results (421-430 of 671) with videos related to

Sort By:
Pageof 68
Biodata Mining|August 30, 2019
RNSCLC-PRSP software to predict the prognostic risk and survival in patients with resected T<sub>1-3</sub>N<sub>0-2</sub> M<sub>0</sub> non-small cell lung cancerYunkui Zhang, YaoChen Li, Rongsheng Zhang, et al.
Biodata Mining|January 30, 2021
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactionsAlena Orlenko, Jason H Moore
Biodata Mining|January 20, 2021
LightCUD: a program for diagnosing IBD based on human gut microbiome dataCongmin Xu, Man Zhou, Zhongjie Xie, et al.
Biodata Mining|January 24, 2021
Empowering the data science scientistJason H Moore
Biodata Mining|February 16, 2021
DASSI: differential architecture search for splice identification from DNA sequencesShabir Moosa, Prof Abbes Amira, Dr Sabri Boughorbel
Biodata Mining|February 5, 2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluationDavide Chicco, Niklas Tötsch, Giuseppe Jurman
Biodata Mining|October 28, 2016
Developing a modular architecture for creation of rule-based clinical diagnostic criteriaNa Hong, Jyotishman Pathak, Christopher G Chute, et al.
Biodata Mining|February 28, 2017
Variant Set Enrichment: an R package to identify disease-associated functional genomic regionsMusaddeque Ahmed, Richard C Sallari, Haiyang Guo, et al.
Biodata Mining|December 30, 2016
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literatureArzucan Özgür, Junguk Hur, Yongqun He
Biodata Mining|February 14, 2017
Elevated transcriptional levels of aldolase A (ALDOA) associates with cell cycle-related genes in patients with NSCLC and several solid tumorsFan Zhang, Jie-Diao Lin, Xiao-Yu Zuo, et al.
Pageof 68