Matrix-Single Cell

A) Sample correlation matrix of published marker genes in the MSBB

Reduce Dimensions for Single Cell, by Nikolay Oskolkov

Processing single-cell RNA-seq datasets using SingCellaR

Generation of count matrix Introduction to Single-cell RNA-seq - ARCHIVED

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Single-cell RNA-seq: Generation of count matrix

Supervised discovery of interpretable gene programs from single-cell data

Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data

Strategies for the integrative analysis of single-cell multiomics data.

The main stages of single-cell analysis, separated broadly into the

Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq

Improved integration of single-cell transcriptome and surface protein expression by LinQ-View: Cell Reports Methods

From left to right: Confusion matrix for the automatic single cell

Generating a Gene Expression Matrix UC Davis Bioinformatics Core June/July 2019 scRNA-Seq Workshop @ UCD and UCSF

CSS: cluster similarity spectrum integration of single-cell genomics data, Genome Biology