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Alan E. Murphy
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MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics
AE Murphy, BM Schilder, NG Skene
Bioinformatics 37 (23), 4593-4596, 2021
442021
A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis
AE Murphy, NG Skene
Nature communications 13 (1), 1-2, 2022
23*2022
ScFlow: A scalable and reproducible analysis pipeline for single-cell RNA sequencing data
C Khozoie, N Fancy, MM Marjaneh, AE Murphy, PM Matthews, N Skene
bioRxiv, 2021.08. 16.456499, 2021
102021
Multidimensional dynamics of the proteome in the neurodegenerative and aging mammalian brain
B Andrews, AE Murphy, M Stofella, S Maslen, L Almeida-Souza, ...
Molecular & Cellular Proteomics 21 (2), 2022
72022
Transcriptomic analyses reveal neuronal specificity of Leigh syndrome associated genes
A Wahedi, C Soondram, AE Murphy, N Skene, S Rahman
Journal of Inherited Metabolic Disease 46 (2), 243-260, 2023
32023
Avoiding false discoveries in single-cell RNA-seq by revisiting the first Alzheimer’s disease dataset
AE Murphy, N Fancy, N Skene
Elife 12, RP90214, 2023
2*2023
Predicting cell type-specific epigenomic profiles accounting for distal genetic effects
AE Murphy, W Beardall, M Rei, M Phuycharoen, NG Skene
bioRxiv, 2024.02. 15.580484, 2024
2024
rworkflows: automating reproducible practices for the R community
BM Schilder, AE Murphy, NG Skene
Nature Communications 15 (1), 149, 2024
2024
Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states
AE Murphy, A Askarova, BE Lenhard, NG Skene, SJ Marzi
bioRxiv, 2024.03. 29.587323, 2024
2024
EpiCompare: R package for the comparison and quality control of epigenomic peak files
S Choi, BM Schilder, L Abbasova, AE Murphy, NG Skene
Bioinformatics Advances 3 (1), vbad049, 2023
2023
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Artículos 1–10