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Educational Background:
Areas of Research Interest: My research interests lie in the general area of computational biology. I am currently focusing on four areas. The first area concerns reconstruction of gene regulatory networks through computational modeling and integration of multiple high-throughput data. Collaborating with biologists at UTSA and UTHSCSA, we are now investigating the network of malaria cell cycle and Kaposi's sarcoma-associated herpesvirus infection. The second area of interest involves modeling and processing of Liquid chromatography-mass spectrometry (LC-MS) data. Together with colleagues at UTSA, we are investigating new signal processing models and algorithm for accurately identifying low abundance peptide signals, which are often potential biomarkers. The third area focuses on developing a new classification method through context discovery. The method aims at accurate prognosis and diagnosis of disease including cancer and identifying effective biomarkers for therapy. The fourth area focuses on developing algorithms for effectively identify regulatory targets of microRNAs, a short non-coding RNA sequence that play important biological roles in many biological processes. In addition to above research activities, I am also an adjunct professor of Epidemiology and Biostatistics and affiliated with Greeghey Children's Cancer Institute of UTHSCSA. I am a recipient of National Science Foundation (NSF) CAREER award in 2005 and 2007 Best Paper Award of IEEE Signal Processing Magazine. I am an associate editor of EUROSIP Journal on Bioinformatics and Computational Biology.
Selected Publications: Y. Huang, J. Zhang, and P. M. Djuric, "Bayesian Detection for BLAST," IEEE Transactions on Signal Processing, vol. 53, no. 3, pp. 1086-1096, March, 2005 Y. Huang, J. Wang, J. Zhang, M. Sanchez, and Y. Wang, "Bayesian Inference of Genetic Regulatory Networks from Time Series Microarray Data Using Dynamic Bayesian Networks," Journal of Multimedia, July 2007 I. T. Luna, Yin, Y. Huang, D. P. R. Padillo, H. Cai, M. Sanchez, and Y. Wang, "Inferring the Skeleton Cell Cycle Regulatory Network in Malaria Parasite using Comparative Genomic and Bayesian Approaches," Genetica, July 2007 I. T. Luna, Y. Yin, Y. Huang, D. P. R. Padillo, and Y. Wang, "Uncovering gene regulatory networks from time series microarray data with variational Bayesian structural expectation maximization," EURASIP Journal on Bioinformatics and Systems Biology, June, 2007 I. T. Luna ,Y. Yin, Y. Huang, D. P. R. Padillo, and Y. Wang, "Uncovering gene networks using variational Bayesian variable selection," Special Issue of Computational Biology , the Artificial Life Journal, Jan. 2008 H. Liu, D. Yue, L. Zhang, S-J Gao, Y. Huang, "A Machine learning approach for miRNA Target Prediction," IEEE Workshop on Genomic Signal Processing and Statistics, 2008 J. Meng, S-J Gao, Y. Huang, "An iterative time windowed signature algorithm for time-dependent transcription module discovery," IEEE Workshop on Genomic Signal Processing and Statistics, 2008 J. Zhang, H. Wang, A. Suffredini, D. Gonzales, E. Gonzalez, Y. Huang, X. Zhou, "Bayesian Peak Detection for pro-TOF MS MALDI Data," IEEE International Conference on Acoustics Speech and Signal Processing, 2008 Y. Huang and E. Dougherty, "Probabilistic Boolean Networks as Models for Gene Regulation," in Dehmer, Emmert-Streib (Ed.): Analysis of Microarray Data, Wiley-VCH, 2008 Contact Information: University of Texas at San Antonio Phone: 210-458-6270 Fax: 210-458-5947 yhuang@utsa.edu |
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