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Bioinformatics (Oxford, England)|November 18, 2004
Solving and analyzing side-chain positioning problems using linear and integer programmingCarleton L Kingsford, Bernard Chazelle, Mona SinghCell Systems|July 27, 2020
PertInInt: An Integrative, Analytical Approach to Rapidly Uncover Cancer Driver Genes with Perturbed Interactions and FunctionalitiesShilpa Nadimpalli Kobren, Bernard Chazelle, Mona SinghCell Systems|July 21, 2020
uKIN Combines New and Prior Information with Guided Network Propagation to Accurately Identify Disease GenesBorislav H Hristov, Bernard Chazelle, Mona SinghPlos Computational Biology|October 25, 2008
Organization of physical interactomes as uncovered by network schemasEric Banks, Elena Nabieva, Bernard Chazelle, et al.Bioinformatics (Oxford, England)|June 18, 2005
Whole-proteome prediction of protein function via graph-theoretic analysis of interaction mapsElena Nabieva, Kam Jim, Amit Agarwal, et al.Bioinformatics Advances|July 21, 2023
Network-augmented compartmental models to track asymptomatic disease spreadDevavrat Vivek Dabke, Kritkorn Karntikoon, Chaitanya Aluru, et al.Genome Biology|February 23, 2007
Rapid, accurate, computational discovery of Rho-independent transcription terminators illuminates their relationship to DNA uptakeCarleton L Kingsford, Kunmi Ayanbule, Steven L SalzbergCureus|September 16, 2024
Humanism and Psychosis: Working With Patients Who Have Potential Medical Comorbidities Along With Mental IllnessMona Singh, Davin AgustinesPlos Computational Biology|February 26, 2013
From hub proteins to hub modules: the relationship between essentiality and centrality in the yeast interactome at different scales of organizationJimin Song, Mona SinghPlos Computational Biology|October 17, 2013
Simple topological features reflect dynamics and modularity in protein interaction networksYuri Pritykin, Mona SinghPageof 11