Unraveling the complexity: understanding the deconvolutions of RNA-seq data

Unraveling the complexity: understanding the deconvolutions of RNA-seq data

Abstract Deconvolution of RNA sequencing data is a computational method used to estimate the relative proportions of different cell types or subpopulations within a heterogeneous sample based on gene expression profiles. This technique is particularly useful in studies where the goal is to identify...

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Bibliographic Details
Main Authors: Kavoos Momeni, Saeid Ghorbian, Ehsan Ahmadpour, Rasoul Sharifi
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Translational Medicine Communications
Subjects:
Deconvolution techniques
RNA-seq data analysis
Differential gene expression analysis
Transcriptome profiling
CIBERSORT
xCell
Online Access:https://doi.org/10.1186/s41231-023-00154-8

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