scGIR: deciphering cellular heterogeneity via gene ranking in single-cell weighted gene correlation networks
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular heterogeneity through high-throughput analysis of individual cells. Nevertheless …
cellular heterogeneity through high-throughput analysis of individual cells. Nevertheless …
C-CSN: single-cell RNA sequencing data analysis by conditional cell-specific network
The rapid advancement of single-cell technologies has shed new light on the complex
mechanisms of cellular heterogeneity. However, compared to bulk RNA sequencing (RNA …
mechanisms of cellular heterogeneity. However, compared to bulk RNA sequencing (RNA …
scVIC: Deep generative modeling of heterogeneity for scRNA-seq data
Motivation Single-cell RNA sequencing (scRNA-seq) has become a valuable tool for
studying cellular heterogeneity. However, the analysis of scRNA-seq data is challenging …
studying cellular heterogeneity. However, the analysis of scRNA-seq data is challenging …
[HTML][HTML] Leveraging gene correlations in single cell transcriptomic data
BACKGROUND: Many approaches have been developed to overcome technical noise in
single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for …
single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for …
scGENA: a single-cell gene coexpression network analysis framework for clustering cell types and revealing biological mechanisms
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput technique that can
measure gene expression, reveal cell heterogeneity, rare and complex cell populations, and …
measure gene expression, reveal cell heterogeneity, rare and complex cell populations, and …
Evaluating measures of association for single-cell transcriptomics
Single-cell transcriptomics provides an opportunity to characterize cell-type-specific
transcriptional networks, intercellular signaling pathways and cellular diversity with …
transcriptional networks, intercellular signaling pathways and cellular diversity with …
A gene rank based approach for single cell similarity assessment and clustering
Single-cell RNA sequencing (scRNA-seq) technology provides quantitative gene expression
profiles at single-cell resolution. As a result, researchers have established new ways to …
profiles at single-cell resolution. As a result, researchers have established new ways to …
scID: identification of transcriptionally equivalent cell populations across single cell RNA-seq data using discriminant analysis
The power of single cell RNA sequencing (scRNA-seq) stems from its ability to uncover cell
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …
scID uses discriminant analysis to identify transcriptionally equivalent cell types across single-cell RNA-seq data with batch effect
The power of single-cell RNA sequencing (scRNA-seq) stems from its ability to uncover cell
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …
type-dependent phenotypes, which rests on the accuracy of cell type identification. However …
[PDF][PDF] Liu, Z.-P. scGENA: A Single-Cell Gene Coexpression Network Analysis Framework for Clustering Cell Types and Revealing Biological Mechanisms …
YA Algabri, L Li - 2022 - academia.edu
Single-cell RNA-sequencing (scRNA-seq) is a recent high-throughput technique that can
measure gene expression, reveal cell heterogeneity, rare and complex cell populations, and …
measure gene expression, reveal cell heterogeneity, rare and complex cell populations, and …