Genome-wide analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease C Kuscu, S Arslan, R Singh, J Thorpe, M Adli Nature biotechnology 32 (7), 677-683, 2014 | 950 | 2014 |
DeepChrome: deep-learning for predicting gene expression from histone modifications R Singh, J Lanchantin, G Robins, Y Qi Bioinformatics 32 (17), i639-i648, 2016 | 291 | 2016 |
Cas9-chromatin binding information enables more accurate CRISPR off-target prediction R Singh, C Kuscu, A Quinlan, Y Qi, M Adli Nucleic acids research 43 (18), e118-e118, 2015 | 238 | 2015 |
Live cell imaging of low-and non-repetitive chromosome loci using CRISPR-Cas9 P Qin, M Parlak, C Kuscu, J Bandaria, M Mir, K Szlachta, R Singh, ... Nature communications 8 (1), 14725, 2017 | 236 | 2017 |
Deep motif dashboard: visualizing and understanding genomic sequences using deep neural networks J Lanchantin, R Singh, B Wang, Y Qi Pacific Symposium on Biocomputing 2017, 254-265, 2017 | 162 | 2017 |
Degree of recruitment of DOT1L to MLL-AF9 defines level of H3K79 Di-and tri-methylation on target genes and transformation potential A Kuntimaddi, NJ Achille, J Thorpe, AA Lokken, R Singh, CS Hemenway, ... Cell reports 11 (5), 808-820, 2015 | 114 | 2015 |
Jointly embedding multiple single-cell omics measurements J Liu, Y Huang, R Singh, JP Vert, WS Noble Algorithms in bioinformatics:... International Workshop, WABI …, 2019 | 105 | 2019 |
Deep motif: Visualizing genomic sequence classifications J Lanchantin, R Singh, Z Lin, Y Qi arXiv preprint arXiv:1605.01133, 2016 | 100 | 2016 |
Discovery of CTCF-sensitive Cis-spliced fusion RNAs between adjacent genes in human prostate cells F Qin, Z Song, M Babiceanu, Y Song, L Facemire, R Singh, M Adli, H Li PLoS genetics 11 (2), e1005001, 2015 | 92 | 2015 |
Gromov-Wasserstein optimal transport to align single-cell multi-omics data P Demetci, R Santorella, B Sandstede, WS Noble, R Singh BioRxiv, 2020.04. 28.066787, 2020 | 86 | 2020 |
Attend and predict: Understanding gene regulation by selective attention on chromatin R Singh, J Lanchantin, A Sekhon, Y Qi Advances in neural information processing systems 30, 2017 | 82 | 2017 |
SCOT: single-cell multi-omics alignment with optimal transport P Demetci, R Santorella, B Sandstede, WS Noble, R Singh Journal of computational biology 29 (1), 3-18, 2022 | 63 | 2022 |
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications A Sekhon, R Singh, Y Qi Bioinformatics 34 (17), i891-i900, 2018 | 61 | 2018 |
Unsupervised manifold alignment for single-cell multi-omics data R Singh, P Demetci, G Bonora, V Ramani, C Lee, H Fang, Z Duan, ... Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020 | 52 | 2020 |
A pitfall for machine learning methods aiming to predict across cell types J Schreiber, R Singh, J Bilmes, WS Noble Genome biology 21, 1-6, 2020 | 49 | 2020 |
A pan-tissue DNA-methylation epigenetic clock based on deep learning LP de Lima Camillo, LR Lapierre, R Singh npj Aging 8 (1), 4, 2022 | 38 | 2022 |
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data CK Kim, JW Choi, Z Jiao, D Wang, J Wu, TY Yi, KC Halsey, F Eweje, ... NPJ Digital Medicine 5 (1), 5, 2022 | 29 | 2022 |
Multimodal attention-based deep learning for Alzheimer’s disease diagnosis M Golovanevsky, C Eickhoff, R Singh Journal of the American Medical Informatics Association 29 (12), 2014-2022, 2022 | 28 | 2022 |
GaKCo: A Fast Gapped k-mer String Kernel Using Counting R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 28 | 2017 |
Unsupervised integration of single-cell multi-omics datasets with disproportionate cell-type representation P Demetçi, R Santorella, B Sandstede, R Singh International Conference on research in computational molecular biology, 3-19, 2022 | 23* | 2022 |