Detecting Fear-Memory-Related Genes from Neuronal scRNA-seq Data by Diverse Distributions and Bhattacharyya Distance

The detection of differentially expressed genes (DEGs) is one of most important computational challenges in the analysis of single-cell RNA sequencing (scRNA-seq) data. However, due to the high heterogeneity and dropout noise inherent in scRNAseq data, challenges in detecting DEGs exist when using a...

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Detalles Bibliográficos
Autores principales: Zhang, Shaoqiang, Xie, Linjuan, Cui, Yaxuan, Carone, Benjamin R., Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405875/
https://www.ncbi.nlm.nih.gov/pubmed/36009024
http://dx.doi.org/10.3390/biom12081130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405875/
https://www.ncbi.nlm.nih.gov/pubmed/36009024
http://dx.doi.org/10.3390/biom12081130

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