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ORCIDBurcu Bakir-Gungor
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2020 – today
- 2024
[j12]Burcu Bakir-Gungor, Mustafa Temiz
, Yasin Inal, Emre Cicekyurt, Malik Yousef:
CCPred: Global and population-specific colorectal cancer prediction and metagenomic biomarker identification at different molecular levels using machine learning techniques. Comput. Biol. Medicine 182: 109098 (2024)- [j11]Beyhan Adanur Dedeturk, Burcu Bakir-Gungor:
Aguhyper: a hyperledger-based electronic health record management framework. PeerJ Comput. Sci. 10: e2060 (2024) - [j10]Beyhan Adanur Dedeturk, Bilge Kagan Dedeturk, Burcu Bakir-Gungor:
CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach. PeerJ Comput. Sci. 10: e2197 (2024) - [j9]Hilal Hacilar, Bilge Kagan Dedeturk, Burcu Bakir-Gungor, Vehbi Cagri Gungor:
Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network. PeerJ Comput. Sci. 10: e2333 (2024) - [j8]Ümmü Gülsüm Söylemez, Malik Yousef, Zülal Kesmen, Burcu Bakir-Gungor:
Novel Antimicrobial Peptide Design Using Motif Match Score Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1656-1666 (2024) - [c17]Daniel Voskergian, Burcu Bakir-Gungor, Malik Yousef:
SEMANT - Feature Group Selection Utilizing FastText-Based Semantic Word Grouping, Scoring, and Modeling Approach for Text Classification. DEXA (2) 2024: 69-75 - [c16]Daniel Voskergian, Burcu Bakir-Gungor, Malik Yousef:
TextNetTopics-SFTS-SBTS: TextNetTopics Scoring Approaches Based Sequential Forward and Backward. IWBBIO (2) 2024: 343-355 - [c15]Osman Altuner, Burcu Bakir-Gungor, Gokhan Bakal:
Graph-based Biomedical Knowledge Discovery. SIU 2024: 1-4 - [c14]Nur Sebnem Ersoz, Cihan Kuzudisli, Malik Yousef, Burcu Bakir-Gungor:
Metagenomic Data Analysis with Machine Learning to Discover Colorectal Cancer-Associated Enzymes. SIU 2024: 1-4 - [c13]Emma Qumsiyeh, Burcu Bakir-Gungor, Malik Yousef:
Classification of Breast Cancer Molecular Subtypes with Grouping-Scoring-Modeling Approach that Incorporates Disease-Disease Association Information. SIU 2024: 1-4 - [c12]Mustafa Temiz, Cihan Kuzudisli, Malik Yousef, Burcu Bakir-Gungor:
Prediction of Type 2 Diabetes using Metagenomic Data and Identification of Taxonomic Biomarkers. SIU 2024: 1-4 - 2023
- [j7]Malik Yousef, Fatma Ozdemir, Amhar Jaber, Jens Allmer, Burcu Bakir-Gungor:
PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach. BMC Bioinform. 24(1): 60 (2023) - [j6]Burak Kolukisa, Burcu Bakir-Gungor:
Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis. Comput. Stand. Interfaces 84: 103706 (2023) - [c11]Miray Unlu Yazici, Malik Yousef, J. S. Marron, Burcu Bakir-Gungor:
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis. BIBM 2023: 3234-3240 - [c10]Ümmü Gülsüm Söylemez, Malik Yousef, Burcu Bakir-Gungor:
Prediction of Antimicrobial Peptides Using Deep Neural Networks. BIOINFORMATICS 2023: 188-194 - 2022
- [j5]Yunus Emre Isik, Yasin Görmez, Zafer Aydin, Burcu Bakir-Gungor:
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1909-1918 (2022) - 2021
- [j4]Malik Yousef, Abhishek Kumar, Burcu Bakir-Gungor:
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data. Entropy 23(1): 2 (2021) - [c9]Malik Yousef, Ahmet Sayici, Burcu Bakir-Gungor:
Integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression Data Analysis. DEXA Workshops 2021: 205-214 - [c8]Malik Yousef, Amhar Jabeer, Burcu Bakir-Gungor:
SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R. DEXA Workshops 2021: 215-224 - 2020
- [c7]Beyhan Adanur, Burcu Bakir-Güngör, Ahmet Soran:
Blockchain-based Fog Computing Applications in Healthcare. SIU 2020: 1-4 - [c6]Burak Kolukisa, Vehbi Cagri Gungor, Burcu Bakir-Gungor:
An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis. SIU 2020: 1-4 - [c5]Miray Unlu Yazici, Burcu Bakir-Gungor:
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes. SIU 2020: 1-4 - [i3]Hilal Hacilar, Özkan Ufuk Nalbantoglu, Oya Aran, Burcu Bakir-Gungor:
Inflammatory Bowel Disease Biomarkers of Human Gut Microbiota Selected via Ensemble Feature Selection Methods. CoRR abs/2001.03019 (2020) - [i2]Malik Yousef, Burcu Bakir-Gungor, Amhar Jabeer, Gokhan Goy, Rehman Qureshi, Louise C. Showe:
Recursive Cluster Elimination based Rank Function (SVM-RCE-R) implemented in KNIME. F1000Research 9: 1255 (2020)
2010 – 2019
- 2019
- [c4]Nur Sebnem Ersoz, Yasin Guzel, Burcu Bakir-Gungor:
In-Silico Identification of Papillary Thyroid Carcinoma Molecular Mechanisms. SIU 2019: 1-4 - [c3]Miray Unlu Yazici, Evrim Aksu Menges, Yeliz Z. Akkaya Ulum, Burcu Balcihayta, Burcu Bakir-Gungor:
In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases. SIU 2019: 1-4 - [i1]Mustafa Coskun, Burcu Bakir-Gungor, Mehmet Koyutürk:
Expanding Label Sets for Graph Convolutional Networks. CoRR abs/1912.09575 (2019) - 2018
- [c2]Burak Kolukisa, Hilal Hacilar, Gokhan Goy, Mustafa Kus, Burcu Bakir-Gungor, Atilla Aral, Vehbi Cagri Gungor:
Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease. IEEE BigData 2018: 2232-2238 - 2014
- [j3]Zeliha Görmez, Burcu Bakir-Gungor, Mahmut Samil Sagiroglu:
HomSI: a homozygous stretch identifier from next-generation sequencing data. Bioinform. 30(3): 445-447 (2014) - [j2]Burcu Bakir-Gungor, Ece Egemen, Osman Ugur Sezerman:
PANOGA: a web server for identification of SNP-targeted pathways from genome-wide association study data. Bioinform. 30(9): 1287-1289 (2014) - 2012
- [b1]Burcu Bakir-Gungor:
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). Sabancı University, Turkey, 2012
2000 – 2009
- 2009
- [j1]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, Howard J. Jacob:
The Rat Genome Database 2009: variation, ontologies and pathways. Nucleic Acids Res. 37(Database-Issue): 744-749 (2009) - 2006
- [c1]Burcu Bakir, Osman Ugur Sezerman:
Functional Classification of G-Protein Coupled Receptors, Based on Their Specific Ligand Coupling Patterns. EvoWorkshops 2006: 1-12
Coauthor Index
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