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Tang Fuchou and Li Tiejun's research team collaborated to develop a new method for integrating single-cell data based on molecular network features

 Last Update: 2021-10-19
 Source: Internet
 Author: User

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With the rapid development of single-cell sequencing technology, a number of global and large-scale cell atlas projects have been launched, such as the human cell atlas project

Screenshot of the paper

In order to solve the above problems, on September 21, 2021, the Beijing Future Gene Diagnosis Advanced Innovation Center, Peking University Biomedical Frontier Innovation Center Tang Fuchou's research group and Peking University School of Mathematical Sciences Li Tiejun's research group cooperated online on Briefings in Bioinformatics published a report entitled Integrating single-cell datasets with ambiguous batch information by incorporating molecular network features research papers

The research assumes that each gene does not perform functions in isolation in the cell, but tends to form a complex molecular network of multiple different genes (for example, the protein products of different genes combine to form protein complexes) and interact together to determine the cell or Physiological phenotype of organisms

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Guangzhou Laboratory Researcher Dr.

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