Research and Publications

Research Interests

  • Computational biology

  • Statistical bioinformatics

  • Machine learning

  • High dimensional variable selection

  • Pathway analysis.

Peer-Reviewed Publications

[1] Patil, A.R., Leung, M.-Y., Roy, S. Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach. Int. J. Environ. Res. Public Health 2021, 18, 5564. https://doi.org/10.3390/ijerph18115564

[2] Basnet, U.; Patil, A.R.; Kulkarni, A.; Roy, S. Role of Stress-Survival Pathways and Transcriptomic Alterations in Progression of Colorectal Cancer: A Health Disparities Perspective. Int. J. Environ. Res. Public Health 2021, 18, 5525. https://doi.org/10.3390/ijerph18115525

[3] Patil, A. R., & Kim, S. (2020). Combination of Ensembles of Regularized Regression Models with Resampling-Based Lasso Feature Selection in High Dimensional Data. Mathematics, 8(1), 110. [Link]

[4] Patil, A. R., Park, B. K., & Kim, S. (2020). Adaptive lasso with weights based on normalized filtering scores in molecular big data. Journal of Theoretical and Computational Chemistry, 2040010. [Link]

[5] Patil, A. R., Choi, B. J., & Kim, S. (2020). Improving the classification performance with group lasso-based ranking method in high dimensional correlated data. Journal of Theoretical and Computational Chemistry, 19(03), 2040009. [Link]

[6] Patil, A. R., Chang, J., Leung, M-Y., & Kim, S. (2019). Analyzing high dimensional correlated data using feature ranking and classifiers. Computational and Mathematical Biophysics, 7(1), 98-120. [Link]

Thesis Publications

[7] Patil, A. R. (2019). Combination of Resampling Based Lasso Feature Selection and Ensembles of Regularized Regression Models, Masters Thesis, The University of Texas at El Paso, Open Access Theses & Dissertations, 2886. [Link]

Conference Talks and Posters

[8] Patil, A. R., Kim, S. Two-stage multinomial classification with ensemble classifier of SVM and RF in high-Throughput Data, 23rd Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, November 3, 2018

[9] Patil, A. R., Macias, K, Mohl, J. E, Leung, M-Y. Bioinformatics workflow for RNA-seq data analysis, 23rd Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, November 3, 2018

Selected Papers In Preparation

To be updated soon.