Burcu Bakır-Güngör

University of North Carolina at Chapel Hill — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

24h-index1.4kcitations133works1.82yr avg
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Research Topics

Bioinformatics and Genomic Networks(41), Gene expression and cancer classification(33), Machine Learning in Bioinformatics(20), Gut microbiota and health(11), Genetic Associations and Epidemiology(9)

Publications132 total

G-S-M-E: A Prior Biological Knowledge-Based Pattern Detection and Enrichment Framework for Multi-Omics Data Integration
Applied Sciences·2025Open Access
Impact of Gene Duplicate Handling Strategies on Classification Performance and Feature Selection in Gene Expression Data
2025
Correction: Engineering novel features for diabetes complication prediction using synthetic electronic health records
Frontiers in Genetics·2025Open Access
Machine Learning-Based Prediction of Autism Spectrum Disorder and Discovery of Related Metagenomic Biomarkers with Explainable AI
Applied Sciences·2025· 1 citedOpen Access
3Mont: A multi-omics integrative tool for breast cancer subtype stratification
UNC Libraries·2025Open Access
Investigating strain rate effects on damage mechanisms in hybrid laminated composites using acoustic emission
Applied Acoustics·2025· 3 cited
3Mont: A multi-omics integrative tool for breast cancer subtype stratification
PLoS ONE·2025Open Access
Enhancing Complex Disease Group Scoring with miRGediNET: A Multi-Algorithm Machine Learning Framework Based on the GSM Approach
2025
GenShare: A Blockchain-Based Genomic Data Sharing Platform
Distributed Ledger Technologies Research and Practice·2025· 1 cited
Breast Cancer Detection Using a New Parallel Hybrid Logistic Regression Model Trained by Particle Swarm Optimization and Clonal Selection Algorithms
Concurrency and Computation Practice and Experience·2025· 1 citedOpen Access
Engineering novel features for diabetes complication prediction using synthetic electronic health records
Frontiers in Genetics·2025· 2 citedOpen Access
Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data
Applied Sciences·2025· 1 citedOpen Access
Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling (G-S-M) approach
Computers in Biology and Medicine·2025· 1 cited
RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
PeerJ Computer Science·2025· 2 citedOpen Access
Expanding Label Sets for Graph Convolutional Networks
Studies in computational intelligence·2025
Leveraging microRNA-Gene Associations with miRGediNET: An Intelligent Approach for Enhanced Classification of Breast Cancer Molecular Subtypes
Lecture notes in networks and systems·2025
TextNetTopics+: Enhancing Text Classification Through Classifier Diversity and Model Ensembling
Lecture notes in networks and systems·2025
Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning
2025Open Access
Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis
2025Open Access
Investigating Strain Rate Effects on Damage Mechanisms in Hybrid Laminated Composites Using Acoustic Emission
SSRN Electronic Journal·2025Open Access
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Frequent Co-authors

Malik Yousef(25), Amhar Jabeer(9), Osman Uğur Sezerman(8), Hilal Hacılar(6), Burak Kolukısa(5), Gökhan Göy(5), Vehbi Çağrı Güngör(5), Özkan Ufuk Nalbantoğlu(5), Ümmü Gülsüm Söylemez(4), Jens Allmer(3), Leo Lahti(2), Miroslava Nedyalkova(2), Önder Aydemir(2), Enrique Carrillo de Santa Pau(2), Aycan Gündoğdu(2), Thomas Klammsteiner(2), Marta B. Lopes(2), Laura Judith Marcos-Zambrano(2), Patrick May(2), Lejla Pašić(2)