scFSNN: a feature selection method based on neural network for single-cell RNA-seq data

scFSNN: a feature selection method based on neural network for single-cell RNA-seq data

Abstract While single-cell RNA sequencing (scRNA-seq) allows researchers to analyze gene expression in individual cells, its unique characteristics like over-dispersion, zero-inflation, high gene-gene correlation, and large data volume with many features pose challenges for most existing feature sel...

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Bibliographic Details
Main Authors: Minjiao Peng, Baoqin Lin, Jun Zhang, Yan Zhou, Bingqing Lin
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Genomics
Subjects:
Feature selection
Deep neural network
FDR control
Online Access:https://doi.org/10.1186/s12864-024-10160-1

Internet

https://doi.org/10.1186/s12864-024-10160-1

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