Ritambhara Singh
Orcid: 0000-0002-7523-160X
According to our database1,
Ritambhara Singh
authored at least 29 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
2023
CoRR, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data.
npj Digit. Medicine, 2022
J. Comput. Biol., 2022
SCOTv2: Single-Cell Multiomic Alignment with Disproportionate Cell-Type Representation.
J. Comput. Biol., 2022
Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks.
J. Comput. Biol., 2022
J. Am. Medical Informatics Assoc., 2022
Unsupervised Integration of Single-Cell Multi-omics Datasets with Disproportionate Cell-Type Representation.
Proceedings of the Research in Computational Molecular Biology, 2022
2021
TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data.
Nucleic Acids Res., 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Proceedings of the From Data to Models and Back - 9th International Symposium, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Proceedings of the 19th International Workshop on Algorithms in Bioinformatics, 2019
2018
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.
Bioinform., 2018
2017
A constrained $$\ell $$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.
Mach. Learn., 2017
Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.
CoRR, 2017
Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.
CoRR, 2016
Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
CoRR, 2016
Bioinform., 2016
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016