| 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 |
| 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 | 1 | 2023 |
| Artificial intelligence for dementia genetics and omics C Bettencourt, N Skene, S Bandres‐Ciga, E Anderson, LM Winchester, ... Alzheimer's & Dementia 19 (12), 5905-5921, 2023 | 9 | 2023 |
| Harnessing the potential of machine learning and artificial intelligence for dementia research JM Ranson, M Bucholc, D Lyall, D Newby, L Winchester, NP Oxtoby, ... Brain Informatics 10 (1), 6, 2023 | 13 | 2023 |
| miR-483-5p offsets functional and behavioural effects of stress in male mice through synapse-targeted repression of Pgap2 in the basolateral amygdala M Mucha, AE Skrzypiec, JB Kolenchery, V Brambilla, S Patel, ... Nature Communications 14 (1), 2134, 2023 | 6 | 2023 |
| Avoiding false discoveries: Revisiting an Alzheimer’s disease snRNA-Seq dataset AE Murphy, NN Fancy, NG Skene bioRxiv, 2023.04. 01.535040, 2023 | 2 | 2023 |
| Single-cell mRNA-regulation analysis reveals cell type-specific mechanisms of type 2 diabetes JA Martínez-López, A Lindqvist, A Lopez-Pascual, P Chen, L Shcherbina, ... bioRxiv, 2023.03. 23.533985, 2023 | | 2023 |
| 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 |
| Identification of cell type-specific gene targets underlying thousands of rare diseases and subtraits KB Murphy, R Gordon-Smith, J Chapman, M Otani, BM Schilder, ... medRxiv, 2023.02. 13.23285820, 2023 | | 2023 |
| The rworkflows suite: automated continuous integration for quality checking, documentation website creation, and containerised deployment of R packages BM Schilder, AE Murphy, NG Skene | | 2023 |
| 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 |
| Reply to: A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis KD Zimmerman, C Evans, CD Langefeld Nature communications 13 (1), 7852, 2022 | 23 | 2022 |
| The Deep Dementia Phenotyping (DEMON) Network: A global platform for innovation using data science and artificial intelligence JM Ranson, AA Khleifat, DM Lyall, D Newby, LM Winchester, P Proitsi, ... Alzheimer's & Dementia 18, e067873, 2022 | | 2022 |
| The Emerging Role of AI in Dementia Research and Healthcare JM Ranson, M Bucholc, D Lyall, D Newby, L Winchester, N Oxtoby, ... Artificial Intelligence in Healthcare: Recent Applications and Developments …, 2022 | | 2022 |
| CELL-AND TISSUE-TYPE ENRICHMENT TESTING BASED ON GENETIC ASSOCIATION STUDIES A McIntosh, Y Lu, N Skene European Neuropsychopharmacology 63, e35, 2022 | | 2022 |
| CUT&Tag recovers up to half of ENCODE ChIP-seq peaks in modifications of H3K27 D Hu, L Abbasova, BM Schilder, A Nott, NG Skene, SJ Marzi bioRxiv, 2022.03. 30.486382, 2022 | 2 | 2022 |
| A balanced measure shows superior performance of pseudobulk methods over mixed models and pseudoreplication approaches in single-cell RNA-sequencing analysis AE Murphy, NG Skene bioRxiv, 2022.02. 16.480517, 2022 | 2 | 2022 |
| 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 |
Jens Hjerling-LefflerAssociate Professor, Molecular Neurobiology, MBB, Karolinska Institutet在 ki.se 的电子邮件经过验证
