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Alan E Murphy

Showing results (1-10 of 13) with videos related to

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Nature Communications|December 22, 2022
A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysisAlan E Murphy, Nathan G Skene
Elife|December 4, 2023
Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimer's disease datasetAlan E Murphy, Nurun Fancy, Nathan Skene
Cell Research|April 8, 2026
Predicting non-coding variant effects with AlphaGenomeAlan E Murphy, Masayuki Nagai, Peter K Koo
Nature Communications|January 3, 2024
rworkflows: automating reproducible practices for the R communityBrian M Schilder, Alan E Murphy, Nathan G Skene
Bioinformatics (Oxford, England)|October 3, 2021
MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statisticsAlan E Murphy, Brian M Schilder, Nathan G Skene
Journal of Inherited Metabolic Disease|December 11, 2022
Transcriptomic analyses reveal neuronal specificity of Leigh syndrome associated genesAzizia Wahedi, Chandika Soondram, Alan E Murphy, et al.
Nature Communications|November 16, 2024
Predicting cell type-specific epigenomic profiles accounting for distal genetic effectsAlan E Murphy, William Beardall, Marek Rei, et al.
Nucleic Acids Research|December 11, 2024
Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular statesAlan E Murphy, Aydan Askarova, Boris Lenhard, et al.
Bioinformatics Advances|May 30, 2023
EpiCompare: R package for the comparison and quality control of epigenomic peak filesSera Choi, Brian M Schilder, Leyla Abbasova, et al.
Molecular & Cellular Proteomics : MCP|January 3, 2022
Multidimensional Dynamics of the Proteome in the Neurodegenerative and Aging Mammalian BrainByron Andrews, Alan E Murphy, Michele Stofella, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Nature Communications|December 22, 2022
A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysisAlan E Murphy, Nathan G Skene
Elife|December 4, 2023
Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimer's disease datasetAlan E Murphy, Nurun Fancy, Nathan Skene
Cell Research|April 8, 2026
Predicting non-coding variant effects with AlphaGenomeAlan E Murphy, Masayuki Nagai, Peter K Koo
Nature Communications|January 3, 2024
rworkflows: automating reproducible practices for the R communityBrian M Schilder, Alan E Murphy, Nathan G Skene
Bioinformatics (Oxford, England)|October 3, 2021
MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statisticsAlan E Murphy, Brian M Schilder, Nathan G Skene
Journal of Inherited Metabolic Disease|December 11, 2022
Transcriptomic analyses reveal neuronal specificity of Leigh syndrome associated genesAzizia Wahedi, Chandika Soondram, Alan E Murphy, et al.
Nature Communications|November 16, 2024
Predicting cell type-specific epigenomic profiles accounting for distal genetic effectsAlan E Murphy, William Beardall, Marek Rei, et al.
Nucleic Acids Research|December 11, 2024
Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular statesAlan E Murphy, Aydan Askarova, Boris Lenhard, et al.
Bioinformatics Advances|May 30, 2023
EpiCompare: R package for the comparison and quality control of epigenomic peak filesSera Choi, Brian M Schilder, Leyla Abbasova, et al.
Molecular & Cellular Proteomics : MCP|January 3, 2022
Multidimensional Dynamics of the Proteome in the Neurodegenerative and Aging Mammalian BrainByron Andrews, Alan E Murphy, Michele Stofella, et al.
Pageof 2