Cargando…
A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput sequencing technique for studying gene expressions at the cell level. Differential Expression (DE) analysis is a major downstream analysis of scRNA-seq data. DE analysis the in presence of noises from different sources remains a key...
Autores principales: | Das, Samarendra, Rai, Anil, Merchant, Michael L., Cave, Matthew C., Rai, Shesh N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701051/ https://www.ncbi.nlm.nih.gov/pubmed/34946896 http://dx.doi.org/10.3390/genes12121947 |
Ejemplares similares
-
Differential Expression Analysis of Single-Cell RNA-Seq Data: Current Statistical Approaches and Outstanding Challenges
por: Das, Samarendra, et al.
Publicado: (2022) -
Statistical methods for analysis of single-cell RNA-sequencing data
por: Das, Samarendra, et al.
Publicado: (2021) -
Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci
por: Das, Samarendra, et al.
Publicado: (2018) -
Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies
por: Das, Samarendra, et al.
Publicado: (2021) -
Statistical Approach for Biologically Relevant Gene Selection from High-Throughput Gene Expression Data
por: Das, Samarendra, et al.
Publicado: (2020)