Engineering EMT using 3D micro-scaffold to promote hepatic functions for drug hepatotoxicity evaluation
Published in Biomaterials, 2016
This paper is about the number 1. The number 2 is left for future work.
Posts by Collection
portfolio
publications
HiCDB: a sensitive and robust method for detecting contact domain boundaries
Published in Nucleic acids research, 2018
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Chen, F., Li, G., Zhang, M. Q., & Chen, Y. (2018). HiCDB: a sensitive and robust method for detecting contact domain boundaries. Nucleic acids research, 46(21), 11239-11250. http://academicpages.github.io/files/paper1.pdf
talks
Inter-chromosomal interaction analysis based on population 3D genome modeling
Published:
In this report, I reviewed several 3D genome modeling technologies and a paper to analyze inter-chromosomal interactions.
See the slides here
From Structural Feature to Biological Functions
Published:
In this report, I reviewed the relationship between chromatin structure and biological functions and the preliminary results of HiCDB.
See the slides here
Lineage-specific dynamic and pre-established enhancer-promoter contacts cooperate in terminal differentiation
Published:
In this report, I reviewed the data analysis in terminal differentiation based on promoter Hi-C and ChIP-Seq data which inspired me in the muscle differentiation data analysis.
See the slides here
HiCDB: a sensitive and robust method for detecting contact domain boundaries
Published:
In this report, I talked about my own method HiCDB to detect chromatin contact domain boundaries (CDBs) robustly and sensitively.
See the slides here See also the videos from www.seq.cn
Having Fun in Hi-C Data Analysis
Published:
In this report, I reviewed Hi-C data analysis in almost all scales.
See the slides here
3D Genome Analysis Identifies Enhancer Hijacking Mechanism for High-Risk Factors in Human T-ALL
Published:
In this report, I talked about my own work exploring T-ALL 3D genome changes.
See the slides here
Basic Machine learning Methods (1) Dimension reduction
Published:
In this workshop, I talked about the principles and applications of dimension reduction methods including PCA, tsne, Umap.
See the slides here