Consensus Nature Inspired Clustering of Single-Cell RNA-Sequencing Data

Consensus Nature Inspired Clustering of Single-Cell RNA-Sequencing Data

Single-cell RNA sequencing (scRNA-seq) enables quantification of mRNA expression at the level of individual cells. scRNA-seq uncovers the disparity of cellular heterogeneity giving insights about the expression profiles of distinct cells revealing cellular differentiation. The rapid advancements in...

Full description

Bibliographic Details
Main Authors: Amany H. Abou El-Naga, Sabah Sayed, Akram Salah, Heba Mohsen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Single-cell RNA-seq
automatic clustering
unsupervised learning
swarm intelligence
metaheuristic algorithms
consensus clustering
Online Access:https://ieeexplore.ieee.org/document/9868780/

Internet

https://ieeexplore.ieee.org/document/9868780/

Similar Items