Research Interests
- Transcription factor binding site prediction
- Enhancer target gene prediction
- Metagenomics
Our lab is interested in solving statistical and algorithmic problems in computational biology. The beauty of this exciting area lies on the fact that it has a direct impact in the real world and statistics and algorithms really matter in data mining here. In addition, the biological problems challenge the current statistical and algorithmic methods and provide a great opportunity to advance and create novel computational methods. We were one of the international groups funded by NIH to develop technology for the ENCODE projects. Currently, our lab is focusing on the following classification and data integration problems: gene transcriptional regulation especially distal gene regulation, and Metagenomics.
For our latest research paper, please visit http://www.cs.ucf.edu/~xiaoman/.
