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ORCIDAngela D. Wilkins
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Journal Articles
- 2020
[j5]Ilya B. Novikov
, Angela D. Wilkins, Olivier Lichtarge:
An Evolutionary Trace method defines functionally important bases and sites common to RNA families. PLoS Comput. Biol. 16(3) (2020)- 2019
- [j4]Chih-Hsu Lin, Daniel M. Konecki, Meng Liu, Stephen J. Wilson, Huda Nassar, Angela D. Wilkins, David F. Gleich, Olivier Lichtarge:
Multimodal network diffusion predicts future disease-gene-chemical associations. Bioinform. 35(9): 1536-1543 (2019) - 2016
- [j3]Rhonald C. Lua, Stephen J. Wilson, Daniel M. Konecki, Angela D. Wilkins, Eric Venner, Daniel H. Morgan, Olivier Lichtarge:
UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures. Nucleic Acids Res. 44(Database-Issue): 308-312 (2016) - 2013
- [j2]Angela D. Wilkins, Eric Venner, David C. Marciano, Serkan Erdin, Benu Atri, Rhonald C. Lua, Olivier Lichtarge:
Accounting for epistatic interactions improves the functional analysis of protein structures. Bioinform. 29(21): 2714-2721 (2013) - 2012
- [j1]Elin Teppa, Angela D. Wilkins, Morten Nielsen, Cristina Marino Buslje:
Disentangling evolutionary signals: conservation, specificity determining positions and coevolution. Implication for catalytic residue prediction. BMC Bioinform. 13: 235 (2012)
Conference and Workshop Papers
- 2017
- [c5]Stephen J. Wilson, Angela D. Wilkins, Chih-Hsu Lin, Rhonald C. Lua, Olivier Lichtarge:
Discovery of Functional and Disease Pathways by Community Detection in Protein-Protein Interaction Networks. PSB 2017: 336-347 - [c4]Jonathan Gallion, Angela D. Wilkins, Olivier Lichtarge:
Human Kinases Display Mutational Hotspots at Cognate Positions Within Cancer. PSB 2017: 414-425 - 2016
- [c3]Sam Regenbogen, Angela D. Wilkins, Olivier Lichtarge:
Computing Therapy for Precision Medicine: Collaborative Filtering Integrates and Predicts Multi-entity Interactions. PSB 2016: 21-32 - 2015
- [c2]Meenakshi Nagarajan, Angela D. Wilkins, Benjamin J. Bachman, Ilya B. Novikov, Shenghua Bao, Peter J. Haas, María E. Terrón-Díaz, Sumit Bhatia, Anbu K. Adikesavan, Jacques J. Labrie, Sam Regenbogen, Christie M. Buchovecky, Curtis R. Pickering, Linda Kato, Andreas Martin Lisewski, Ana Lelescu, Houyin Zhang, Stephen Boyer, Griff Weber, Ying Chen, Lawrence A. Donehower, W. Scott Spangler, Olivier Lichtarge:
Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature. KDD 2015: 2019-2028 - 2014
- [c1]W. Scott Spangler, Angela D. Wilkins, Benjamin J. Bachman, Meena Nagarajan, Tajhal Dayaram, Peter J. Haas, Sam Regenbogen, Curtis R. Pickering, Austin Comer, Jeffrey N. Myers, Ioana Stanoi, Linda Kato, Ana Lelescu, Jacques J. Labrie, Neha Parikh, Andreas Martin Lisewski, Lawrence A. Donehower, Ying Chen, Olivier Lichtarge:
Automated hypothesis generation based on mining scientific literature. KDD 2014: 1877-1886
Coauthor Index
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