Scholars

TEES Researcher at TAMU-Commerce

Positions:

Professor, Texas A&M University - Commerce - (Commerce, Texas, United States)
TEES Researcher at TAMU-Commerce, TEES Regional Divisions, Texas A&M Engineering Experiment Station (TEES)

overview

I am a bioinformatician with a background in data mining and machine learning. I have extensive experience with machine learning applications in big data problems in modalities including tumor images, graphs interaction, strings, texts, protein, functional magnetic resonance imaging (fMRI), and SPECT.

education and training

Ph.D. in Applied Science, emphasis on Applied Computing, University of Arkansas at Little Rock - (Little Rock, Arkansas, United States) 2008
B.S. in Computer Science Applied Science, emphasis on Applied Computing, Dokuz Eylul University - (Izmir, Turkey) 2001

selected publications

Academic Articles28

Calimano-Ramirez, L. F., Virarkar, M. K., Hernandez, M., Ozdemir, S., Kumar, S., Gopireddy, D. R., ... Gumus, K. Z. (2023). MRI-based nomograms and radiomics in presurgical prediction of extraprostatic extension in prostate cancer: a systematic review.. Abdominal radiology (New York). 48(7), 2379-2400.
Raman, G., Ashraf, B., Demir, Y. K., Kershaw, C. D., Cheruku, S., Atis, M., ... Mete, M. (2023). Machine learning prediction for COVID-19 disease severity at hospital admission.. 23(1), 46.
Raman, G., Ashraf, B., Demir, Y., Kershaw, C., Cheruku, S., Atis, M., ... Mete, M. (2022). Prediction of Outcome in Hospitalized Patients with COVID-19: Development of a COVID-19 Scoring Prognostic Model. Blood. 140(Supplement 1), 11224-11225.
Mete, M., Ayvaci, M., Ariyamuthu, V. K., Amin, A., Peltz, M., Thibodeau, J. T., ... Tanriover, B. (2022). Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool.. Kidney International Reports. 7(6), 1410-1415.
Amin, A. A., Araj, F. G., Ariyamuthu, V. K., Drazner, M. H., Ayvaci, M., Mammen, P., ... Tanriover, B. (2019). Impact of induction immunosuppression on patient survival in heart transplant recipients treated with tacrolimus and mycophenolic acid in the current allocation era.. Clinical Transplantation. 33(8), e13651.

SDG 3

Chapters5

Kockara, S., Mete, M., & Suer, S. (2013). Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images. Color Medical Image Analysis. 41-61. Springer Nature.
Yenialp, E., Kalkan, H., & Mete, M. (2012). Improving Density Based Clustering with Multi-scale Analysis. Lecture Notes in Computer Science. Computer Vision and Graphics. 694-701. Springer Nature.
Mete, M., Tang, F., Xu, X., & Yuruk, N. (2010). Finding Functional Modules. SYSTEMS BIOLOGY FOR SIGNALING NETWORKS. 253-273. Springer Nature.
Mete, M., Yuruk, N., Xu, X., & Berleant, D. (2010). Knowledge Discovery in Textual Databases: A Concept-Association Mining Approach. International Series in Operations Research and Management Science. DATA ENGINEERING: MINING, INFORMATION AND INTELLIGENCE. 225-243. Springer Nature.
Mete, M., Ou, Y., & Sirakov, N. M. Skin Lesion Feature Vector Space with a Metric to Model Geometric Structures of Malignancy for Classification. Combinatorial Image Analaysis. 285-297. Springer Nature.

Conference Papers26

Arslan, A. N., Mete, M., & Kumari, A. (2021). RNA Secondary Structure Database, Analysis Tool-Set, and Case-Study Results on SARS-CoV-2. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 00, 2471-2478.
Mete, M., Sirakov, N., Dickson, L., Frieder, J., Griffin, J., Hosler, G. A., & Menter, A. (2020). A Quaternary Classifier for the Clinical Evaluation of Pigmented Skin Lesions. 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE), 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE). 00, 734-739.
Mete, M., & Arslan, A. (2020). Graphical Processing Unit - Supported RNA Secondary Structure Comparison. EPiC Series in Computing, Proceedings of the 12th International Conference on Bioinformatics and Computational Biology. 70, 109-198.
Natarajan, K., Nguyen, T., & Mete, M. (2018). Hand Gesture Controlled Drones: An Open Source Library. 2018 1st International Conference on Data Intelligence and Security (ICDIS). 168-175.
Mete, M., Sirakov, N. M., Griffin, J., & Menter, A. (2016). NOVEL CLASSIFICATION SYSTEM FOR DYSPLASTIC NEVUS AND MALIGNANT MELANOMA. Proceedings / ICIP ... International Conference on Image Processing, 2016 IEEE International Conference on Image Processing (ICIP). 3414-3418.