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 | 50 | 2021 |
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 | 34* | 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 | 12 | 2021 |
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 | 7 | 2022 |
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 | 4 | 2023 |
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 | 3* | 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 |