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...
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: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2162253120300767 |
Similar Items
-
Transcriptomic analysis of the signature of neurogenesis in human hippocampus suggests restricted progenitor cell progression post-childhood
by: Ashutosh Kumar, et al.
Published: (2020-12-01) -
Transcriptome Comparisons of Multi-Species Identify Differential Genome Activation of Mammals Embryogenesis
by: Chunshen Long, et al.
Published: (2019-01-01) -
Transcriptome analysis identifies putative multi-gene signature distinguishing benign and malignant pancreatic head mass
by: Bishnupriya Chhatriya, et al.
Published: (2020-11-01) -
Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection
by: Yu-Hang Zhang, et al.
Published: (2021-01-01) -
A Novel Six-mRNA Signature Predicts Survival of Patients With Glioblastoma Multiforme
by: Zhentao Liu, et al.
Published: (2021-03-01)