Basic Machine learning Methods (1) Dimension reduction
Workshop, Tsinghua University, Beijing, CN
In this workshop, I talked about the principles and applications of dimension reduction methods including PCA, tsne, Umap.
See the slides here
Workshop, Tsinghua University, Beijing, CN
In this workshop, I talked about the principles and applications of dimension reduction methods including PCA, tsne, Umap.
See the slides here
Talk, Tsinghua University, The 7th International Symposium on 3D Genomics, Beijing, CN
In this report, I talked about my own work exploring T-ALL 3D genome changes.
See the slides here
Report & Review, Zhu lab's Group Meeting, PUMC, CN
In this report, I reviewed Hi-C data analysis in almost all scales.
See the slides here
Talk, Huazhong Agricultural University, The 5th International Symposium on 3D Genomics , Wuhan, Hubei
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
Review, Michael lab's Group Meeting, Tsinghua, CN
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
Review & Report, Michael lab's 12th Group Meeting, Tsinghua, CN
In this report, I reviewed the relationship between chromatin structure and biological functions and the preliminary results of HiCDB.
See the slides here
Review, Michael lab's Group Meeting, Tsinghua, CN
In this report, I reviewed several 3D genome modeling technologies and a paper to analyze inter-chromosomal interactions.
See the slides here