I am a second-year PhD student in Department of Biostatistics and MSE student in Department of Computer Science at Johns Hopkins University. I am working as a research assistance under the advisory of Dr. Hongkai Ji.
My primary research interest is developing novel statistical and machine learning methods for analyzing data from high-thoughput sequencing technologies, especially single-cell sequencing.
This website is developed by Zhicheng Ji. Last update: 05-17-2017.
Number of visits:
1. Statistical and Machine Learning Methods for Single-Cell Analysis:
TSCAN: Pseudo-Time Reconstruction and Evaluation in Single-Cell RNA-seq Analysis. [Paper][Software]
SCRAT: Single-Cell Regulome Analysis Tool. [Paper][Software]
2. Methods for Mining Big Genomics Data:
GSCA: Gene Set Context Analysis for Turning Publicly Available Gene Expression Data into Discoveries. [Paper][Software]
GEOsearch: Extendable Search Engine for Gene Expression Omnibus [Software]
3. Methods of Predicting Chromatin Accessibility Using Gene Expressions:
Genome-wide Prediction of DNase I Hypersensitivity Using Gene Expression. [Paper]
Global Prediction of Chromatin Accessibility Using RNA-seq from Small Number of Cells. [Paper]
All Publications on Google Scholar
| Name | Type | Author | Availability |
|---|---|---|---|
| GSCA: Gene Set Context Analysis | R Software Package | Zhicheng Ji, Hongkai Ji | [Github] [Bioconductor] [Online GUI] |
| TSCAN: Tools for Single-Cell ANalysis | R Software Package | Zhicheng Ji, Hongkai Ji | [Github] [Bioconductor] [Online GUI] |
| SEPA: Single-cell Gene Expression Pattern Analysis | R Software Package | Zhicheng Ji, Hongkai Ji | [Github] [Bioconductor] [Online GUI] |
| GEOsearch: Extendable Search Engine for GEO | R Software Package | Zhicheng Ji, Hongkai Ji | [Github] [Bioconductor] [Online GUI] |
| SCRAT: Single-Cell Regulome Analysis Tool | R Software Package | Zhicheng Ji, Weiqiang Zhou, Hongkai Ji | [Github] [Online GUI] |
Office:
E3038 Department of Biostatistics
Bloomberg School of Public Health
615 North Wolfe Street
Baltimore, MD, 21205, USA
Email:
zji4@jhu.edu
Github:
https://github.com/zji90