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ORCIDRitambhara Singh
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2020 – today
- 2020
[c7]Ritambhara Singh, Pinar Demetci, Giancarlo Bonora, Vijay Ramani, Choli Lee, He Fang, Zhi-jun Duan, Xinxian Deng, Jay Shendure, Christine Disteche, William Stafford Noble:
Unsupervised manifold alignment for single-cell multi-omics data. BCB 2020: 40:1-40:10
2010 – 2019
- 2019
- [j4]Ritambhara Singh
, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1524-1536 (2019) - [c6]Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble:
Jointly Embedding Multiple Single-Cell Omics Measurements. WABI 2019: 10:1-10:13 - 2018
- [j3]Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. Bioinform. 34(17): i891-i900 (2018) - [i10]Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications. CoRR abs/1807.03878 (2018) - 2017
- [j2]Beilun Wang, Ritambhara Singh, Yanjun Qi:
A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models. Mach. Learn. 106(9-10): 1381-1417 (2017) - [c5]Jack Lanchantin, Ritambhara Singh, Yanjun Qi:
Memory Matching Networks for Genomic Sequence Classification. ICLR (Workshop) 2017 - [c4]Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. NIPS 2017: 6785-6795 - [c3]Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi:
GaKCo: A Fast Gapped k-mer String Kernel Using Counting. ECML/PKDD (1) 2017: 356-373 - [c2]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. PSB 2017: 254-265 - [i9]Jack Lanchantin, Ritambhara Singh, Yanjun Qi:
Memory Matching Networks for Genomic Sequence Classification. CoRR abs/1702.06760 (2017) - [i8]Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari, Jack Lanchantin, Beilun Wang, Yanjun Qi:
GaKCo: a Fast GApped k-mer string Kernel using COunting. CoRR abs/1704.07468 (2017) - [i7]Ritambhara Singh, Jack Lanchantin, Arshdeep Sekhon, Yanjun Qi:
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. CoRR abs/1708.00339 (2017) - [i6]Jack Lanchantin, Arshdeep Sekhon, Ritambhara Singh, Yanjun Qi:
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. CoRR abs/1710.11238 (2017) - 2016
- [j1]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
DeepChrome: deep-learning for predicting gene expression from histone modifications. Bioinform. 32(17): 639-648 (2016) - [c1]Ritambhara Singh, Yanjun Qi:
Character based String Kernels for Bio-Entity Relation Detection. BioNLP@ACL 2016: 66-71 - [i5]Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi:
Deep Motif: Visualizing Genomic Sequence Classifications. CoRR abs/1605.01133 (2016) - [i4]Beilun Wang, Ritambhara Singh, Yanjun Qi:
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models. CoRR abs/1605.03468 (2016) - [i3]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
DeepChrome: Deep-learning for predicting gene expression from histone modifications. CoRR abs/1607.02078 (2016) - [i2]Jack Lanchantin, Ritambhara Singh, Beilun Wang, Yanjun Qi:
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks. CoRR abs/1608.03644 (2016) - [i1]Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi:
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction. CoRR abs/1609.03490 (2016)
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