Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis

Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis

Human preimplantation development is a complex process involving dramatic changes in transcriptional architecture. For a better understanding of their time-spatial development, it is indispensable to identify key genes. Although the single-cell RNA sequencing (RNA-seq) techniques could provide detai...

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Bibliographic Details
Main Authors: Pengfei Liang, Wuritu Yang, Xing Chen, Chunshen Long, Lei Zheng, Hanshuang Li, Yongchun Zuo
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
developmental mRNA signature
single-cell transcriptome
machine learning
feature selection
prediction
differential gene expression
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253120300767

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http://www.sciencedirect.com/science/article/pii/S2162253120300767

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