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Alexis Battle

Showing results (11-20 of 101) with videos related to

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The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|July 13, 2024
Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research SymposiumPeter M Abadir, Alexis Battle, Jeremy D Walston, et al.
Nature|October 13, 2017
Genetic effects on gene expression across human tissues, , , et al.
Genome Research|July 17, 2025
Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networksPrashanthi Ravichandran, Princy Parsana, Rebecca Keener, et al.
Genome Biology|November 18, 2025
A comparison of computational methods for expression forecastingEric Kernfeld, Yunxiao Yang, Joshua S Weinstock, et al.
Biostatistics (Oxford, England)|December 13, 2022
Inference after latent variable estimation for single-cell RNA sequencing dataAnna Neufeld, Lucy L Gao, Joshua Popp, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Aggregation of <i>recount3</i> RNA-seq data improves inference of consensus and tissue-specific gene co-expression networksPrashanthi Ravichandran, Princy Parsana, Rebecca Keener, et al.
Molecular Systems Biology|June 10, 2010
Automated identification of pathways from quantitative genetic interaction dataAlexis Battle, Martin C Jonikas, Peter Walter, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Prior knowledge informs graph neural networks to improve phenotype prediction from proteomicsPrabuddha Ghosh Dastidar, Gus Fridell, Joshua M Popp, et al.
BMC Cancer|June 28, 2017
Identifying global expression patterns and key regulators in epithelial to mesenchymal transition through multi-study integrationPrincy Parsana, Sarah R Amend, James Hernandez, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
Transcriptome-wide association studies at cell state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Pageof 11

Showing results (11-20 of 101) with videos related to

Sort By:
Pageof 11
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|July 13, 2024
Enhancing Care for Older Adults and Dementia Patients With Large Language Models: Proceedings of the National Institute on Aging-Artificial Intelligence & Technology Collaboratory for Aging Research SymposiumPeter M Abadir, Alexis Battle, Jeremy D Walston, et al.
Nature|October 13, 2017
Genetic effects on gene expression across human tissues, , , et al.
Genome Research|July 17, 2025
Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networksPrashanthi Ravichandran, Princy Parsana, Rebecca Keener, et al.
Genome Biology|November 18, 2025
A comparison of computational methods for expression forecastingEric Kernfeld, Yunxiao Yang, Joshua S Weinstock, et al.
Biostatistics (Oxford, England)|December 13, 2022
Inference after latent variable estimation for single-cell RNA sequencing dataAnna Neufeld, Lucy L Gao, Joshua Popp, et al.
Biorxiv : the Preprint Server for Biology|February 8, 2024
Aggregation of <i>recount3</i> RNA-seq data improves inference of consensus and tissue-specific gene co-expression networksPrashanthi Ravichandran, Princy Parsana, Rebecca Keener, et al.
Molecular Systems Biology|June 10, 2010
Automated identification of pathways from quantitative genetic interaction dataAlexis Battle, Martin C Jonikas, Peter Walter, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Prior knowledge informs graph neural networks to improve phenotype prediction from proteomicsPrabuddha Ghosh Dastidar, Gus Fridell, Joshua M Popp, et al.
BMC Cancer|June 28, 2017
Identifying global expression patterns and key regulators in epithelial to mesenchymal transition through multi-study integrationPrincy Parsana, Sarah R Amend, James Hernandez, et al.
Medrxiv : the Preprint Server for Health Sciences|April 1, 2025
Transcriptome-wide association studies at cell state level using single-cell eQTL dataGuanghao Qi, Eardi Lila, Zhicheng Ji, et al.
Pageof 11