Areas of Teaching Interest
Digital Signal Processing, Mathematical foundations of machine learning, Computational Biology
Areas of Research Interest
Computational Biology, Omics analysis, Deep Learning
Educational Background
Ph.D. in Electrical Engineering (Computational Biology), The University of Texas at San Antonio 2010-2015
M.S. in Applied Mathematics, The University of Texas at San Antonio 2008-2010
M.S. Electronics Engineering, Metropolitan Autonomous University, 1997-2002
Selected Publications
- Flores, Mario; Ovcharenko, Ivan, Enhancer Reprogramming in mammalian genomes. BMC Bioinformatics, 2018, Volume 19, Number 1. (Impact Factor:2.51)
- Ma, C., Sastry, K.S., Flores, M., Gehani, S., Al-Bozom, I., Feng, Y., Serpedin, E., Chouchane, L.,Chen, Y. and Huang, Y. (2016) CrossLink: a novel method for cross-condition classification of cancer subtypes. BMC Genomics . (Impact Factor:3.5)
- Liu Hui; Flores, Mario; Meng, Jia; Zhang, Lin; Zhao, Xinyu; Rao, Manjeet; Chen, Yidong; Huang, Yufei, MeT-DB: A database of transcriptome methylation in mammalian cells. Nucleic Acids Research 2014 Nov 6, pii:gku1024 (First three authors should be regarded as Joint First Authors.) (Impact Factor:8.81)
- M. Flores, Y. Chen, Y. Huang. TraceRNA: A Web Application for Competing Endogenous RNA Exploration. Circ Cardiovasc. Genet, 2014, Aug; 7(4): 548-57. doi: 10.1161/CIRCGENETICS.113.000125(Impact Factor:6.73)
- Ma, Chifeng, Hung-I. H. Chen, Mario Flores, Yufei Huang, and Yidong Chen. “BRCA-Monet: a breast cancer specific drug treatment mode-of-action network for treatment effective prediction using large scale microarray database.” BMC Systems Biology 7, no. Suppl 5 (2013): S5. (Impact Factor:2.98)
- M. Flores, T-H Hsiao, Y-C Chiu, E. Y. Chuang, Y. Huang, Y. Chen, “Gene Regulation, Modulation and Their Applications in Gene Expression Data Analysis,” Advances in Bioinformatics, 2013: 360678, 2013 March 13. doi: 10.1155/2013/360678, PMID:23573084
- M. Flores, Y. Huang, Y. Chen, “NETCERNA: an algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs,” 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2013), Houston, TX, Dec, 2013
- Flores, M.; Yufei Huang, “A new algorithm for predicting competing endogenous rnas,” Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on, vol., no., pp.118,121, 2-4 Dec. 2012 doi: 10.1109/GENSIPS.2012.6507743″