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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:

Dr. Zhixiang Lin (林志翔),香港中文大学统计系

Inviter: 王勇 副研究员
Title:
Model-based approach to the joint analysis of single-cell data on chromatin accessibility and gene expression
Time & Venue:
2018.12.24 10:00 S915
Abstract:
Unsupervised methods, including clustering methods, are essential to the analysis of single-cell genomic data. Model-based clustering methods are under-explored in the area of single-cell genomics, and have the advantage of quantifying the uncertainty of the clustering result. Here we develop a model-based approach for the integrative analysis of single-cell chromatin accessibility and gene expression data. We show that combining these two types of data, we can achieve a better separation of the underlying cell types. An efficient Markov chain Monte Carlo algorithm is also developed.
 

 

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