Faculty

Institution

Unit

Venue

Stefan Bekiranov

University of Virginia

Affiliations

School of Medicine

Department of Biochemistry and Molecular Genetics

NoneStefan Bekiranov is currently serving as a Biochemistry And Molecular Genetics faculty at University of Virginia.

Honors

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Experiences

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Education

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Stefan Bekiranov

University of Virginia

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cell biology molecular cell biology genome biology genetics molecular biology gene expression systems biology epigenetics nucleic acids tumor biology chromatin transcription (biology) oncogenes cancer cells epigenomics functional genomics transcription regulation chromatin remodeling bioinformatics molecular cancer cancer biology transcription factors gene regulation molecular informatics cardiovascular research biomedical informatics epigenetic changes vascular biology transcriptomics technology cancer genomics cancer genetics cancer discovery rna biology cell regulation computational genomics molecular diagnostics chromosome biology cancer growth melanoma single-cell analysis cellular physiology molecular metabolism aging cell thoracic oncology rna processing yeast gene expression profiling nuclear organization receptor tyrosine kinases cellular immune responses human genome pol ii non-coding rna genomic mechanisms cell lines hormonal receptor cytogenetics psychiatric genetics lifespan extension cellular senescence biogerontology polymer properties polymer solutions histone methylations transcriptional regulation dna methylation human endogenous retrovirus-k crosslinking kinetics genomic maps histone modifications genome-wide analysis human chromosomes noncoding rnas widespread regulation human chromosomes 21 chromosomes 21 multidisciplinary ai scientific computing intelligent computing informatics quantum computing data science computational biology artificial intelligence quantum machine learning

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ccaat-Enhancer Binding Protein Delta Functions as a Tumor Suppressor Gene in Acute Myeloid Leukemia. bioRxiv (Cold Spring Harbor Laboratory) (2025)

Subhash C. PrajapatiCem MeydanYaseswini NeelamrajuZhenjia WangHao FanNicholas DunhamRichard DillonJorge A. GandaraTak LeeCaroline SheridanPaul ZumboMichael W. BeckerLars BullingerMartin P. CarrollRichard J. D'AndreaRoss L. LevineChristopher MasonAri M. MelnickChongzhi ZangStefan BekiranovFrancine E. Garrett-Bakelman

tumor biologycebpd knockdown experimentscancer researchradiation oncologyhematological malignanciescebpd expressioncell biologycell signalingcancer cellsleukemiamolecular cell biologyoncogenescancer geneticsacute myeloid leukemiamyeloid neoplasia

IDEABENCH: Benchmarking Large Language Models for Research Idea Generation. (2025)

Sikun GuoAmir Hassan ShariatmadariGuangzhi XiongAlbert HuangMyles KimCorey M. WilliamsStefan BekiranovAidong Zhang

large language modelslanguage generationsemantic evaluationnatural language processingresearch idea generationlanguagelanguage modelsretrieval augmented generation

Immunotherapy for Atherosclerosis. Physiological Reviews (2025)

Claudia MonacoColeen A. McNamaraBram SlütterAmanda C. FoksStefan BekiranovWillem J.M. MulderIsabel GonçalvesEsther Lutgens

cellular physiologyhematologytumor biologyclinical transplantationcirculatory physiologystrokeimmunohaematologyclinical physiologydermatologybiomedical researchneuroscienceclinical immunologytherapeutic targetssurvival analysisneurologymedicinal researchmolecular physiologyimmunosuppression

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. (2025)

inductive inferencecomputational linguisticslarge language modelsnatural language generationlanguage generationautomated reasoninginferencelinguisticssemantic evaluationsemantic interpretationevaluating truthfulnessnatural language processingmachine translationapplied linguisticslanguage sciencecognitive sciencelanguagelanguage models

Triple Checkpoint Blockade of Pd-1, Tim-3, and Lag-3 Enhances Adoptive T Cell Immunotherapy in a Mouse Model of Ovarian Cancer. Proceedings of the National Academy of Sciences (2025)

cancer immunotherapycellular therapyradiation oncologymouse modelovarian cancercancer cellsimmune checkpoint inhibitorsimmunotherapyoncogenesimmunologytriple checkpoint blockadecellular immune responsesgynecologic oncology

Unstable Coronary Artery Plaque Features in Humans Are Associated With Higher Frequency of Circulating Cd56Bright Natural Killer Cells. Journal of Vascular Research (2025)

Micah Hunter-ChangChristine L. FloraHema KothariChantel C. McSkimmingSydney D. BlimbaumCorey M. WilliamsAngela M. TaylorStefan BekiranovColeen A. McNamara

vascular diseasecardiovascular researchcardiovascular diseasecirculatory physiologyimmunotherapyhigher frequencyatherosclerosisvascular pharmacologyimmunologyimmunity (medicine)vascular biologythrombosiscell deathbiomolecular engineeringcardiologyvascular agingcoronary artery diseaseneovascularizationpathology

Abstract 4143173: B Cell CXC Chemokine Receptor Type 5 Expression Predicts Left Ventricular Functional Improvement and Neurohormonal Improvement After Cardiac Resynchronization Therapy. Circulation (2024)

Kenneth BilchickJesse CochranHema KothariChantel McSkimmingDerek BivonaEli ZunderStefan BekiranovColeen McNamara

receptorscirculatory physiologycardiologynovel therapiescardiovascular physiologycell biologycell signalingneurosciencecardiac resynchronization therapyvascular biologyventricular functional improvementphysiologycardiovascular researchneurohormonal improvement

DARDN: A Deep-Learning Approach for Ctcf Binding Sequence Classification and Oncogenic Regulatory Feature Discovery. Genes (2024)

Hyun Jae ChoZhenjia WangYidan CongStefan BekiranovAidong ZhangChongzhi Zang

cancer genomicsgeneticsmolecular geneticsbioinformaticsprotein sciencecomputational genomicssequence classificationneurosciencegenomicsgene functiongenome biologymolecular biologygene therapytranslational bioinformaticstranscriptomics technologydeep learning

DEEPGSEA: Explainable Deep Gene Set Enrichment Analysis for Single-Cell Transcriptomic Data. Bioinformatics (2024)

Guangzhi XiongNathan J LeRoyStefan BekiranovNathan C SheffieldAidong Zhang

bioinformaticssingle-cell analysiscomputational genomicsinformaticssystems biologygenomicsdata sciencecomputational biologyenrichment analysissingle-cell transcriptomic datamolecular biologytranslational bioinformaticstranscriptomics technologydeep learning

Generating Synthetic Single Cell Data From Bulk Rna-Seq Using a Pretrained Variational Autoencoder. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Hyun Jae ChoEric XieAidong ZhangStefan Bekiranov

bioinformaticssingle-cell analysisbiostatisticspretrained variational autoencodersystems biologysynthetic biologysingle cell sequencingmolecular biologytranscriptomics technology

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Stefan Bekiranov

University of Virginia

Affiliations

School of Medicine

Department of Biochemistry and Molecular Genetics

NoneStefan Bekiranov is currently serving as a Biochemistry And Molecular Genetics faculty at University of Virginia.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Stefan Bekiranov

University of Virginia

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Ccaat-Enhancer Binding Protein Delta Functions as a Tumor Suppressor Gene in Acute Myeloid Leukemia. bioRxiv (Cold Spring Harbor Laboratory) (2025)

IDEABENCH: Benchmarking Large Language Models for Research Idea Generation. (2025)

Sikun GuoAmir Hassan ShariatmadariGuangzhi XiongAlbert HuangMyles KimCorey M. WilliamsStefan BekiranovAidong Zhang

large language modelslanguage generationsemantic evaluationnatural language processingresearch idea generationlanguagelanguage modelsretrieval augmented generation

Immunotherapy for Atherosclerosis. Physiological Reviews (2025)

Claudia MonacoColeen A. McNamaraBram SlütterAmanda C. FoksStefan BekiranovWillem J.M. MulderIsabel GonçalvesEsther Lutgens

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. (2025)

Triple Checkpoint Blockade of Pd-1, Tim-3, and Lag-3 Enhances Adoptive T Cell Immunotherapy in a Mouse Model of Ovarian Cancer. Proceedings of the National Academy of Sciences (2025)

Unstable Coronary Artery Plaque Features in Humans Are Associated With Higher Frequency of Circulating Cd56Bright Natural Killer Cells. Journal of Vascular Research (2025)

Micah Hunter-ChangChristine L. FloraHema KothariChantel C. McSkimmingSydney D. BlimbaumCorey M. WilliamsAngela M. TaylorStefan BekiranovColeen A. McNamara

Kenneth BilchickJesse CochranHema KothariChantel McSkimmingDerek BivonaEli ZunderStefan BekiranovColeen McNamara

DARDN: A Deep-Learning Approach for Ctcf Binding Sequence Classification and Oncogenic Regulatory Feature Discovery. Genes (2024)

Hyun Jae ChoZhenjia WangYidan CongStefan BekiranovAidong ZhangChongzhi Zang

DEEPGSEA: Explainable Deep Gene Set Enrichment Analysis for Single-Cell Transcriptomic Data. Bioinformatics (2024)

Guangzhi XiongNathan J LeRoyStefan BekiranovNathan C SheffieldAidong Zhang

Generating Synthetic Single Cell Data From Bulk Rna-Seq Using a Pretrained Variational Autoencoder. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Hyun Jae ChoEric XieAidong ZhangStefan Bekiranov

bioinformaticssingle-cell analysisbiostatisticspretrained variational autoencodersystems biologysynthetic biologysingle cell sequencingmolecular biologytranscriptomics technology

1
2
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5
13
10 / page

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