scAnnotate – an automated cell type annotation tool for single-cell RNA-sequencing data
Single-cell RNA-sequencing (scRNA-seq) technology enables researchers to investigate a genome at the cellular level with…
Browsing: Cell Type Analysis
SPICEMIX enables integrative single-cell spatial modeling of cell identity
Spatial transcriptomics can reveal spatially resolved gene expression of diverse cells in complex tissues. However,…
scMDR – learning cell annotation under multiple reference datasets by multisource domain adaptation
Accurate and efficient cell type annotation is essential for single-cell sequence analysis. Currently, cell type…
DLNLRR – non-negative low-rank representation based on dictionary learning for single-cell RNA-sequencing data analysis
In the analysis of single-cell RNA-sequencing (scRNA-seq) data, how to effectively and accurately identify cell…
sc-linker – identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetic
Genome-wide association studies provide a powerful means of identifying loci and genes contributing to disease,…
RNA-sensing system measures and controls protein expression in cells
A new technology called RADARS allows scientists to detect and target specific cell types, opening…
Combining denoising of RNA-seq data and flux balance analysis for cluster analysis of single cells
Sophisticated methods to properly pre-process and analyze the increasing collection of single-cell RNA sequencing (scRNA-seq)…
CellMap – in silico cell type decomposition is an efficient, inexpensive, and convenient alternative to scRNA-Seq that can leverage bulk RNA-seq
Induced pluripotent stem cell (iPSC) derived cell types are increasingly employed as in vitro model…
Machine learning for cell type classification from single nucleus RNA sequencing data
With the advent of single cell/nucleus RNA sequencing (sc/snRNA-seq), the field of cell phenotyping is…
totRNAseq – high-throughput muscle fiber typing from RNA sequencing data
Skeletal muscle fiber type distribution has implications for human health, muscle function, and performance. This…