Ritambhara Singh
Ritambhara Singh
Assistant Professor, Brown University
brown.edu의 이메일 확인됨 - 홈페이지
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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
7322014
DeepChrome: deep-learning for predicting gene expression from histone modifications
R Singh, J Lanchantin, G Robins, Y Qi
Bioinformatics 32 (17), i639-i648, 2016
1832016
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
1642015
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), 1-10, 2017
1462017
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
1052017
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
832015
Deep motif: Visualizing genomic sequence classifications
J Lanchantin, R Singh, Z Lin, Y Qi
arXiv preprint arXiv:1605.01133, 2016
722016
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
652015
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, 6785, 2017
432017
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications
A Sekhon, R Singh, Y Qi
Bioinformatics 34 (17), i891-i900, 2018
292018
Jointly embedding multiple single-cell omics measurements
J Liu, Y Huang, R Singh, JP Vert, WS Noble
BioRxiv, 644310, 2019
252019
Gromov-Wasserstein optimal transport to align single-cell multi-omics data
P Demetci, R Santorella, B Sandstede, WS Noble, R Singh
BioRxiv, 2020
182020
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
152020
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
92020
A constrained ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models
B Wang, R Singh, Y Qi
Machine Learning 106 (9), 1381-1417, 2017
92017
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
92017
Transfer string kernel for cross-context DNA-protein binding prediction
R Singh, J Lanchantin, G Robins, Y Qi
IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016
42016
Deep gdashboard: Visualizing and understanding genomic sequences using deep neural networks
J Lanchantin, R Singh, B Wang, Y Qi
42016
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
32021
Character based string kernels for bio-entity relation detection
R Singh, Y Qi
Proceedings of the 15th Workshop on Biomedical Natural Language Processing …, 2016
32016
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학술자료 1–20