| 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 | 872 | 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 | 254 | 2016 |
| 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 | 207 | 2017 |
| 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 | 206 | 2015 |
| 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 | 144 | 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 | 99 | 2015 |
| Deep motif: Visualizing genomic sequence classifications J Lanchantin, R Singh, Z Lin, Y Qi arXiv preprint arXiv:1605.01133, 2016 | 92 | 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 | 79 | 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 | 75 | 2019 |
| 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 | 67 | 2017 |
| 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 | 58 | 2020 |
| DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications A Sekhon, R Singh, Y Qi Bioinformatics 34 (17), i891-i900, 2018 | 48 | 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 | 41 | 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), 1-6, 2020 | 37 | 2020 |
| 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 | 27 | 2022 |
| GaKCo: A Fast Gapped k-mer String Kernel Using Counting R Singh, A Sekhon, K Kowsari, J Lanchantin, B Wang, Y Qi Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 19 | 2017 |
| 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 | 16 | 2022 |
| A constrained 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models B Wang, R Singh, Y Qi Machine Learning 106, 1381-1417, 2017 | 12 | 2017 |
| TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data AM Conard, N Goodman, Y Hu, N Perrimon, R Singh, C Lawrence, ... Nucleic Acids Research 49 (W1), W641-W653, 2021 | 10 | 2021 |
| 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 | 8 | 2022 |
Yanjun QiFaculty @UVa CS / PhD @CMU / DATA Scholar@ NIH/ Principal Applied Scientist @ AWS在 virginia.edu 的电子邮件经过验证
