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Biodata Mining
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February 28, 2024
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
Sandra Batista, Vered Senderovich Madar, Philip J Freda, et al.
Biodata Mining
|
May 2, 2018
Collective feature selection to identify crucial epistatic variants
Shefali S Verma, Anastasia Lucas, Xinyuan Zhang, et al.
Biodata Mining
|
October 4, 2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study
Magnus Lekman, Ola Hössjer, Peter Andrews, et al.
Biodata Mining
|
August 6, 2025
Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph
Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, et al.
Biodata Mining
|
October 11, 2024
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies
Philip J Freda, Attri Ghosh, Priyanka Bhandary, et al.
Biodata Mining
|
July 31, 2012
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS
Nora Chung Kim, Peter C Andrews, Folkert W Asselbergs, et al.
Biodata Mining
|
February 3, 2023
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes
Abdulrahman Alasiri, Konrad J Karczewski, Brian Cole, et al.
Biodata Mining
|
June 3, 2017
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases
Jason H Moore, Peter C Andrews, Randal S Olson, et al.
Biodata Mining
|
July 13, 2023
ChatGPT and large language models in academia: opportunities and challenges
Jesse G Meyer, Ryan J Urbanowicz, Patrick C N Martin, et al.
Biodata Mining
|
June 1, 2017
Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype
Vinicius Tragante, Johannes M I H Gho, Janine F Felix, et al.
Page
of 9
Search research articles
Search
Showing results (71-80 of 87) with videos related to
Sort By:
Page
of 9
Biodata Mining
|
February 28, 2024
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis
Sandra Batista, Vered Senderovich Madar, Philip J Freda, et al.
Biodata Mining
|
May 2, 2018
Collective feature selection to identify crucial epistatic variants
Shefali S Verma, Anastasia Lucas, Xinyuan Zhang, et al.
Biodata Mining
|
October 4, 2014
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study
Magnus Lekman, Ola Hössjer, Peter Andrews, et al.
Biodata Mining
|
August 6, 2025
Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph
Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, et al.
Biodata Mining
|
October 11, 2024
PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies
Philip J Freda, Attri Ghosh, Priyanka Bhandary, et al.
Biodata Mining
|
July 31, 2012
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS
Nora Chung Kim, Peter C Andrews, Folkert W Asselbergs, et al.
Biodata Mining
|
February 3, 2023
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes
Abdulrahman Alasiri, Konrad J Karczewski, Brian Cole, et al.
Biodata Mining
|
June 3, 2017
Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseases
Jason H Moore, Peter C Andrews, Randal S Olson, et al.
Biodata Mining
|
July 13, 2023
ChatGPT and large language models in academia: opportunities and challenges
Jesse G Meyer, Ryan J Urbanowicz, Patrick C N Martin, et al.
Biodata Mining
|
June 1, 2017
Gene Set Enrichment Analyses: lessons learned from the heart failure phenotype
Vinicius Tragante, Johannes M I H Gho, Janine F Felix, et al.
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of 9