PhD, Harvard University, 2007
MA, Harvard University, 2004
ME, Tsinghua University, 2002
I am interested in developing statistical and computational methods for analyzing big and complex data, particularly high-throughput genomic data. I apply these tools to study gene regulatory programs in development and diseases. My research group develops methods for analyzing genome sequences, transcriptome, regulome, epigenome, and single-cell genomic data. We also develop user-friendly software tools, database and web servers to deliver the state-of-the-art data analysis methods to scientific community. We collaborate with biomedical investigators to apply our tools to decode gene regulatory circuitry in stem cell, cancer and other diseases.
- 1. Ji HK, Jiang H, Ma W, Johnson DS, Myers RM and Wong WH (2008) An integrated software system for analyzing ChIP-chip and ChIP-seq data. Nature Biotechnology. 26: 1293-1300.
- 2. Ji HK, Li X, Wang QF, Ning Y (2013) Differential principal component analysis of ChIP-seq. Proc. Natl. Acad. Sci. USA. 110: 6789-6794.
- 3. Wei YY, Tenzen T, Ji HK* (2015) Joint analysis of differential gene expression in multiple studies using correlation motifs. Biostatistics. 16:31-46
- 4. Ji ZC, Ji HK (2016) TSCAN: pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis. Nucleic Acids Research. 44(13): e117.
- 5. Zhou WQ, Sherwood B, Ji ZC, Xue Y, Du F, Bai JW, Ying MY, Ji HK. (2017) Genome-wide prediction of DNase I hypersensitivity using gene expression. Nature Communications. 8: 1038.