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BioData mining

Showing results (541-550 of 671) with videos related to

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Biodata Mining|September 5, 2022
Learning and visualizing chronic latent representations using electronic health recordsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo, et al.
Biodata Mining|February 13, 2021
Gene function finding through cross-organism ensemble learningGianluca Moro, Marco Masseroli
Biodata Mining|March 2, 2021
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotypeJung Wun Lee, Seungyeoun Lee
Biodata Mining|November 10, 2018
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWASM Arabnejad, B A Dawkins, W S Bush, et al.
Biodata Mining|October 3, 2012
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architecturesRyan J Urbanowicz, Jeff Kiralis, Nicholas A Sinnott-Armstrong, et al.
Biodata Mining|January 28, 2025
A generative deep neural network for pan-digestive tract cancer survival analysisLekai Xu, Tianjun Lan, Yiqian Huang, et al.
Biodata Mining|January 30, 2025
MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profilesHyunwook Koh, Jihun Kim, Hyojung Jang
Biodata Mining|January 15, 2025
Genome-wide association studies are enriched for interacting genesPeter T Nguyen, Simon G Coetzee, Irina Silacheva, et al.
Biodata Mining|December 19, 2024
Comparing new tools of artificial intelligence to the authentic intelligence of our global health studentsShilpa R Thandla, Grace Q Armstrong, Adil Menon, et al.
Biodata Mining|December 5, 2024
TGNet: tensor-based graph convolutional networks for multimodal brain network analysisZhaoming Kong, Rong Zhou, Xinwei Luo, et al.
Pageof 68

Showing results (541-550 of 671) with videos related to

Sort By:
Pageof 68
Biodata Mining|September 5, 2022
Learning and visualizing chronic latent representations using electronic health recordsDavid Chushig-Muzo, Cristina Soguero-Ruiz, Pablo de Miguel Bohoyo, et al.
Biodata Mining|February 13, 2021
Gene function finding through cross-organism ensemble learningGianluca Moro, Marco Masseroli
Biodata Mining|March 2, 2021
A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotypeJung Wun Lee, Seungyeoun Lee
Biodata Mining|November 10, 2018
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWASM Arabnejad, B A Dawkins, W S Bush, et al.
Biodata Mining|October 3, 2012
GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architecturesRyan J Urbanowicz, Jeff Kiralis, Nicholas A Sinnott-Armstrong, et al.
Biodata Mining|January 28, 2025
A generative deep neural network for pan-digestive tract cancer survival analysisLekai Xu, Tianjun Lan, Yiqian Huang, et al.
Biodata Mining|January 30, 2025
MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profilesHyunwook Koh, Jihun Kim, Hyojung Jang
Biodata Mining|January 15, 2025
Genome-wide association studies are enriched for interacting genesPeter T Nguyen, Simon G Coetzee, Irina Silacheva, et al.
Biodata Mining|December 19, 2024
Comparing new tools of artificial intelligence to the authentic intelligence of our global health studentsShilpa R Thandla, Grace Q Armstrong, Adil Menon, et al.
Biodata Mining|December 5, 2024
TGNet: tensor-based graph convolutional networks for multimodal brain network analysisZhaoming Kong, Rong Zhou, Xinwei Luo, et al.
Pageof 68