Ilya Shmulevich

North Seattle College — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

114h-index124.0kcitations475works12.02yr avg
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Research Topics

Cancer Genomics and Diagnostics(76), Bioinformatics and Genomic Networks(66), Gene Regulatory Network Analysis(61), Gene expression and cancer classification(55), Single-cell and spatial transcriptomics(25)

Publications383 total

Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets
UNC Libraries·2025Open Access
Predicting Microsatellite Instability from Whole Slide Images Using Texture Features
Lecture notes in computer science·2025
Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia
npj Digital Medicine·2025· 1 citedOpen Access
Cellular heterogeneity and therapeutic response profiling of human IDH+ glioma stem cell cultures
2025Open Access
Medical digital twins: enabling precision medicine and medical artificial intelligence
The Lancet Digital Health·2025· 39 citedOpen Access
Predicting microsatellite instability from whole slide images using texture features
2025· 1 citedOpen Access
Classification of non-TCGA cancer samples to TCGA molecular subtypes using compact feature sets
Cancer Cell·2025· 22 citedOpen Access
Correction: Computational capabilities of a multicellular reservoir computing system
PLoS ONE·2024Open Access
A multiscale model of immune surveillance in micrometastases gives insights on cancer patient digital twins
npj Systems Biology and Applications·2024· 16 citedOpen Access
Generating Biomedical Knowledge Graphs from Knowledge Bases, Registries, and Multiomic Data
2024· 2 citedOpen Access
Knowledge graphs facilitate prediction of drug response for acute myeloid leukemia
iScience·2024· 5 citedOpen Access
Supplementary Video S1 from The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research
2024Open Access
Data from The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research
2024Open Access
Data from The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research
2024Open Access
Supplementary Video S1 from The ISB Cancer Genomics Cloud: A Flexible Cloud-Based Platform for Cancer Genomics Research
2024Open Access
Supplementary Table S1-S14 from Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
2024Open Access
Supplementary Figures 1 from Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
2024Open Access
Data from Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
2024Open Access
Data from Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
2024Open Access
Supplementary Table S1-S14 from Mutation Patterns Predict Drug Sensitivity in Acute Myeloid Leukemia
2024Open Access
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Frequent Co-authors

Sheila M. Reynolds(35), Vésteinn Thórsson(34), Gad Getz(34), Yuexin Liu(34), Michael S. Lawrence(32), Brady Bernard(31), Gordon B. Mills(30), Varsha Dhankani(30), Michael S. Noble(29), Juok Cho(29), Scott Frazer(29), Thomas J. Giordano(29), Theo Knijnenburg(29), John A. Demchok(28), Carolyn M. Hutter(28), Heidi J. Sofia(28), Jean C. Zenklusen(28), Timothy Defreitas(28), Nils Gehlenborg(28), David I. Heiman(28)