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Dive into the research topics where Mona Singh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Predicting and Analyzing Variation in Cellular Interactomes
4/1/19 → 2/29/24
Project: Research project
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Systematic Detection of Oncogenic TAD Disruption Across Cancer Types
NJ Commission on Cancer Research
1/1/19 → 12/31/20
Project: Research project
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Interaction-based Computational Methods for Analyzing Cancer Genomes
7/1/16 → 6/30/22
Project: Research project
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Student Support for RECOMB 2016
NSF - National Science Foundation
2/1/16 → 1/31/17
Project: Research project
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Identification of Cancer Driver Metabolites Through Genomic Approaches
NJ Commission on Cancer Research
1/1/16 → 12/31/17
Project: Research project
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Leveraging protein language models for accurate multiple sequence alignments
McWhite, C. D., Armour-Garb, I. & Singh, M., Jul 2023, In: Genome Research. 33, 7, p. 1145-1153 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Network-augmented compartmental models to track asymptomatic disease spread
Dabke, D. V., Karntikoon, K., Aluru, C., Singh, M. & Chazelle, B., 2023, In: Bioinformatics Advances. 3, 1, vbad082.Research output: Contribution to journal › Article › peer-review
Open Access -
Primate protein-ligand interfaces exhibit significant conservation and unveil human-specific evolutionary drivers
King, S. B. & Singh, M., Mar 2023, In: PLoS computational biology. 19, 3 March, e1010966.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning Probabilistic Protein-DNA Recognition Codes from DNA-Binding Specificities Using Structural Mappings
Wetzel, J. L., Zhang, K. & Singh, M., 2022, Research in Computational Molecular Biology - 26th Annual International Conference, RECOMB 2022, Proceedings. Pe’er, I. (ed.). Springer Science and Business Media Deutschland GmbH, p. 363-365 3 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13278 LNBI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Learning probabilistic protein–DNA recognition codes from DNA-binding specificities using structural mappings
Wetzel, J. L., Zhang, K. & Singh, M., Sep 2022, In: Genome Research. 32, 9, p. 1776-1786 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations