Functional Classification of G-Protein Coupled Receptors, Based on Their Specific Ligand Coupling Patterns. - Burcu Bakir; Osman Ugur Sezerman (EvoWorkshops, 2006)

The Rat Genome Database 2009: variation, ontologies and pathways. - Melinda R. Dwinell; Elizabeth A. Worthey; Mary Shimoyama; Burcu Bakir-Gungor; Jeffrey DePons; Stanley J. F. Laulederkind; Timothy Lowry; Rajni Nigam; Victoria Petri; Jennifer R. Smith; Alexander Stoddard; Simon N. Twigger; et al. (Nucleic Acids Res., 2009)

Bioinformatics approaches to associate single nucleotide polymorphisms with human diseases according to their pathway related context (Tek nükleotid polimorfizmlerini yolaklar üzerinden insan hastalıkları ile ilişkilendirmek için biyoinformatik yöntemler) - Burcu Bakir-Gungor (2012)

PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data. - Burcu Bakir-Gungor; Ece Egemen; Osman Ugur Sezerman (Bioinform., 2014)

HomSI: a homozygous stretch identifier from next-generation sequencing data. - Zeliha Görmez; Burcu Bakir-Gungor; Mahmut Samil Sagiroglu (Bioinform., 2014)

Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease. - Burak Kolukisa; Hilal Hacilar; Gokhan Goy; Mustafa Kus; Burcu Bakir-Gungor; Atilla Aral; Vehbi Cagri Gungor (IEEE BigData, 2018)

In-Silico Identification of Papillary Thyroid Carcinoma Molecular Mechanisms. - Nur Sebnem Ersoz; Yasin Guzel; Burcu Bakir-Gungor (SIU, 2019)

In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases. - Miray Unlu Yazici; Evrim Aksu Menges; Yeliz Z. Akkaya Ulum; Burcu Balcihayta; Burcu Bakir-Gungor (SIU, 2019)

Expanding Label Sets for Graph Convolutional Networks. - Mustafa Coskun; Burcu Bakir-Gungor; Mehmet Koyutürk (CoRR, 2019)

Blockchain-based Fog Computing Applications in Healthcare. - Beyhan Adanur; Burcu Bakir-Güngör; Ahmet Soran (SIU, 2020)

An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis. - Burak Kolukisa; Vehbi Cagri Gungor; Burcu Bakir-Gungor (SIU, 2020)

A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes. - Miray Unlu Yazici; Burcu Bakir-Gungor (SIU, 2020)

Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. - Hilal Hacilar; Özkan Ufuk Nalbantoglu; Oya Aran; Burcu Bakir-Gungor (CoRR, 2020)

Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME. - Malik Yousef; Burcu Bakir-Gungor; Amhar Jabeer; Gokhan Goy; Rehman Qureshi; Louise C. Showe (F1000Research, 2020)

SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R. - Malik Yousef; Amhar Jabeer; Burcu Bakir-Gungor (DEXA Workshops, 2021)

Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis. - Malik Yousef; Ahmet Sayici; Burcu Bakir-Gungor (DEXA Workshops, 2021)

Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data. - Malik Yousef; Abhishek Kumar 015; Burcu Bakir-Gungor (Entropy, 2021)

The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease. - Yunus Emre Isik; Yasin Görmez; Zafer Aydin; Burcu Bakir-Gungor (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. - Miray Unlu Yazici; Malik Yousef; J. S. Marron; Burcu Bakir-Gungor (BIBM, 2023)

Prediction of Antimicrobial Peptides Using Deep Neural Networks. - Ümmü Gülsüm Söylemez; Malik Yousef; Burcu Bakir-Gungor (BIOINFORMATICS, 2023)

Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis. - Burak Kolukisa; Burcu Bakir-Gungor (Comput. Stand. Interfaces, 2023)

PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach. - Malik Yousef; Fatma Ozdemir; Amhar Jaber; Jens Allmer; Burcu Bakir-Gungor (BMC Bioinform., 2023)

SEMANT - Feature Group Selection Utilizing FastText-Based Semantic Word Grouping, Scoring, and Modeling Approach for Text Classification. - Daniel Voskergian; Burcu Bakir-Gungor; Malik Yousef (DEXA (2), 2024)

TextNetTopics-SFTS-SBTS: TextNetTopics Scoring Approaches Based Sequential Forward and Backward. - Daniel Voskergian; Burcu Bakir-Gungor; Malik Yousef (IWBBIO (2), 2024)

Graph-based Biomedical Knowledge Discovery. - Osman Altuner; Burcu Bakir-Gungor; Gokhan Bakal (SIU, 2024)

Metagenomic Data Analysis with Machine Learning to Discover Colorectal Cancer-Associated Enzymes. - Nur Sebnem Ersoz; Cihan Kuzudisli; Malik Yousef; Burcu Bakir-Gungor (SIU, 2024)

Classification of Breast Cancer Molecular Subtypes with Grouping-Scoring-Modeling Approach that Incorporates Disease-Disease Association Information. - Emma Qumsiyeh; Burcu Bakir-Gungor; Malik Yousef (SIU, 2024)

Prediction of Type 2 Diabetes using Metagenomic Data and Identification of Taxonomic Biomarkers. - Mustafa Temiz; Cihan Kuzudisli; Malik Yousef; Burcu Bakir-Gungor (SIU, 2024)

CCPred: Global and population-specific colorectal cancer prediction and metagenomic biomarker identification at different molecular levels using machine learning techniques. - Burcu Bakir-Gungor; Mustafa Temiz; Yasin Inal; Emre Cicekyurt; Malik Yousef (Comput. Biol. Medicine, 2024)

Aguhyper: a hyperledger-based electronic health record management framework. - Beyhan Adanur Dedeturk; Burcu Bakir-Gungor (PeerJ Comput. Sci., 2024)

CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach. - Beyhan Adanur Dedeturk; Bilge Kagan Dedeturk; Burcu Bakir-Gungor (PeerJ Comput. Sci., 2024)

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network. - Hilal Hacilar; Bilge Kagan Dedeturk; Burcu Bakir-Gungor; Vehbi Cagri Gungor (PeerJ Comput. Sci., 2024)

Novel Antimicrobial Peptide Design Using Motif Match Score Representation. - Ümmü Gülsüm Söylemez; Malik Yousef; Zülal Kesmen; Burcu Bakir-Gungor (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Identifying Inflammatory Bowel Disease-Associated Gene Ontology Groups Using Biological Knowledge-Based Machine Learning. - Nur Sebnem Ersoz; Burcu Bakir-Gungor; Malik Yousef (BIOSTEC (1), 2025)

Enhancing the Efficiency of the Grouping-Scoring-Modeling Framework with Statistical Pre-Scoring Component for Transcriptomic Data Analysis. - Maham Khokhar; Burcu Bakir-Gungor; Malik Yousef (BIOSTEC (1), 2025)

PathDisGene: Discovering Informative Gene Groups for Disease Diagnosis Using Pathway-Disease Associations and a Grouping, Scoring, Modeling-Based Machine Learning Approach. - Emma Qumsiyeh; Burcu Bakir-Gungor; Malik Yousef (BIOSTEC (1), 2025)

Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling (G-S-M) approach. - Burcu Bakir-Gungor; Mustafa Temiz; Beyza Canakcimaksutoglu; Malik Yousef (Comput. Biol. Medicine, 2025)

Breast Cancer Detection Using a New Parallel Hybrid Logistic Regression Model Trained by Particle Swarm Optimization and Clonal Selection Algorithms. - Mustafa Etcil; Bilge Kagan Dedeturk; Burak Kolukisa; Burcu Bakir-Gungor; Vehbi Cagri Gungor (Concurr. Comput. Pract. Exp., 2025)

RCE-IFE: recursive cluster elimination with intra-cluster feature elimination. - Cihan Kuzudisli; Burcu Bakir-Gungor; Bahjat Qaqish; Malik Yousef (PeerJ Comput. Sci., 2025)