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Scientific Reports|November 23, 2018
Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical frameworkAndi Dhroso, Samantha Eidson, Dmitry KorkinCell Reports|November 24, 2021
Predicting protein interaction network perturbation by alternative splicing with semi-supervised learningOleksandr Narykov, Nathan T Johnson, Dmitry KorkinMolecular Therapy. Nucleic Acids|July 17, 2023
Asymmetric trichotomous partitioning overcomes dataset limitations in building machine learning models for predicting siRNA efficacyKathryn R Monopoli, Dmitry Korkin, Anastasia KhvorovaThe FEBS Journal|June 14, 2014
The yeast protein interaction network has a capacity for self-organizationAndi Dhroso, Dmitry Korkin, Gavin C ConantProtein Science : a Publication of the Protein Society|August 6, 2005
Localization of protein-binding sites within families of proteinsDmitry Korkin, Fred P Davis, Andrej SaliBioinformatics (Oxford, England)|January 31, 2012
Literature mining of host-pathogen interactions: comparing feature-based supervised learning and language-based approachesThanh Thieu, Sneha Joshi, Samantha Warren, et al.The Behavioral and Brain Sciences|October 2, 2023
Ideography insight from facial recognition and neuroimagingBenjamin C Nephew, Justin J Polcari, Dmitry KorkinPlos One|May 19, 2011
Structural similarity and classification of protein interaction interfacesNan Zhao, Bin Pang, Chi-Ren Shyu, et al.Biorxiv : the Preprint Server for Biology|April 3, 2026
Beyond gene length: Exon-intron architecture and isoform potential in the evolution of eukaryotic complexitySenbao Lu, Yue Bao, Gloria M Sheynkman, et al.RNA (New York, N.Y.)|June 14, 2020
A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq dataSuhas Srinivasan, Anastasia Leshchyk, Nathan T Johnson, et al.Pageof 7