1. Korkmaz S, Göksülük D, Zararsiz G, Karahan S (2017) "geneSurv: An Interactive Web-Based Tool for Survival Analysis in Genomics Research" Computers in Biology and Medicine (Accepted/In press).

2. Zararsiz G, Göksülük D, Korkmaz S, Eldem V, Zararsız GE, Duru İP, Öztürk A (2017) "A comprehensive simulation study on classification of RNA-Seq data" PLOS ONE 12(8): e0182507. (link).

3. Goksuluk D, Korkmaz S, Zararsiz G, Karaağaoğlu AE (2016) "easyROC: An Interactive Web-tool for ROC Curve Analysis Using R Language Environment." The R Journal, 8(2):213-230, December 2016. (link).

4. Zararsiz G, Akyildiz HY, Goksuluk D, Korkmaz S, Ozturk A (2016) "Statistical learning approaches in diagnosing patients with nontraumatic acute abdomen" Turkish Journal of Electrical Engineer and Computer Science, 24:3685-3697 (link).

5. Zararsiz G, Korkmaz S, Goksuluk D, Eldem V, Ozturk A (2015) “Diagonal Discriminant Analysis for Gene-Expression Based Tumor Classification” Journal of Advances in Information Technology 6(2): 59-62 (link).

6 Korkmaz S, Zararsiz G and Goksuluk D (2015) "MLViS: A Web Tool for Machine Learning-Based Virtual Screening in Early-Phase of Drug Discovery and Development" PLoS ONE 10(4): e0124600 (link).

7. Korkmaz S, Goksuluk D and Zararsiz G (2014) “MVN: An R Package for Assessing Multivariate Normality” The R Journal 6(2), 151-162 (link).

8. Korkmaz S, Zararsiz G and Goksuluk D (2014) “Drug/Nondrug Classification Using Support Vector Machines with Various Feature Selection Strategies” Computer Methods and Programs in Biomedicine 117(2), 51-60 (link).

9. Zararsiz G, Goksuluk D, Korkmaz S, Eldem V, Duru İP, Ünver T, Öztürk A (2014) "Classification of RNASeq Data via Bagging Support Vector Machines" bioRxiv (link).