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BioData mining

Showing results (361-370 of 671) with videos related to

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Biodata Mining|February 21, 2015
Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studiesCui Tao, Puqiang Wu, Yi Luo, et al.
Biodata Mining|April 24, 2021
Estimating sequencing error rates using familiesKelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
Biodata Mining|June 9, 2012
Weighted multiple testing procedures for genomic studiesJiang Gui, Tor D Tosteson, Mark Borsuk
Biodata Mining|June 12, 2012
Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-ViewSarah A Pendergrass, Scott M Dudek, Dana C Crawford, et al.
Biodata Mining|August 2, 2011
Hill-Climbing search and diversification within an evolutionary approach to protein structure predictionCamelia Chira, Dragos Horvath, D Dumitrescu
Biodata Mining|September 13, 2011
Mining the diseasomeDavnah Urbach, Jason H Moore
Biodata Mining|March 28, 2012
A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organizationJohannes Tuikkala, Heidi Vähämaa, Pekka Salmela, et al.
Biodata Mining|November 5, 2014
CardioGxE, a catalog of gene-environment interactions for cardiometabolic traitsLaurence D Parnell, Britt A Blokker, Hassan S Dashti, et al.
Biodata Mining|September 1, 2020
Deep learning-based ovarian cancer subtypes identification using multi-omics dataLong-Yi Guo, Ai-Hua Wu, Yong-Xia Wang, et al.
Biodata Mining|December 22, 2025
Cross-cohort genetic risk prediction for Alzheimer's disease: a transfer learning approach using GWAS and deep learning modelsIsibor Kennedy Ihianle, Wathsala Samarasekara, Keeley Brookes, et al.
Pageof 68

Showing results (361-370 of 671) with videos related to

Sort By:
Pageof 68
Biodata Mining|February 21, 2015
Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studiesCui Tao, Puqiang Wu, Yi Luo, et al.
Biodata Mining|April 24, 2021
Estimating sequencing error rates using familiesKelley Paskov, Jae-Yoon Jung, Brianna Chrisman, et al.
Biodata Mining|June 9, 2012
Weighted multiple testing procedures for genomic studiesJiang Gui, Tor D Tosteson, Mark Borsuk
Biodata Mining|June 12, 2012
Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-ViewSarah A Pendergrass, Scott M Dudek, Dana C Crawford, et al.
Biodata Mining|August 2, 2011
Hill-Climbing search and diversification within an evolutionary approach to protein structure predictionCamelia Chira, Dragos Horvath, D Dumitrescu
Biodata Mining|September 13, 2011
Mining the diseasomeDavnah Urbach, Jason H Moore
Biodata Mining|March 28, 2012
A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organizationJohannes Tuikkala, Heidi Vähämaa, Pekka Salmela, et al.
Biodata Mining|November 5, 2014
CardioGxE, a catalog of gene-environment interactions for cardiometabolic traitsLaurence D Parnell, Britt A Blokker, Hassan S Dashti, et al.
Biodata Mining|September 1, 2020
Deep learning-based ovarian cancer subtypes identification using multi-omics dataLong-Yi Guo, Ai-Hua Wu, Yong-Xia Wang, et al.
Biodata Mining|December 22, 2025
Cross-cohort genetic risk prediction for Alzheimer's disease: a transfer learning approach using GWAS and deep learning modelsIsibor Kennedy Ihianle, Wathsala Samarasekara, Keeley Brookes, et al.
Pageof 68