Population-level integration of single-cell datasets enables multi-scale analysis across samples
The increasing amount of data recorded in medical research can only lead to scientific breakthroughs…
Browsing: Expression and Quantification
STREAK – A supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data using feature selection and thresholded gene set scoring
The accurate estimation of cell surface receptor abundance for single cell transcriptomics data is important…
DISCERN – deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection
Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing…
iDESC – identifying differential expression in single-cell RNA sequencing data with multiple subjects
Single-cell RNA sequencing (scRNA-seq) technology has enabled assessment of transcriptome-wide changes at single-cell resolution. Due…
STREAK – a supervised cell surface receptor abundance estimation strategy for single cell RNA-sequencing data
The accurate estimation of cell surface receptor abundance for single cell transcriptomics data is important…
CellBender – unsupervised removal of systematic background noise from droplet-based single-cell experiments
Droplet-based single-cell assays, including single-cell RNA sequencing (scRNA-seq), single-nucleus RNA sequencing (snRNA-seq) and cellular indexing…
sccomp – robust differential composition and variability analysis for single-cell data
Cellular omics such as single-cell genomics, proteomics, and microbiomics allow the characterization of tissue and…
RGStraP – direct inference and control of genetic population structure from RNA sequencing data
RNAseq data can be used to infer genetic variants, yet its use for estimating genetic…
cellCounts – an R function for quantifying 10x Chromium single-cell RNA sequencing data
The 10x Genomics Chromium single-cell RNA sequencing technology is a powerful gene expression profiling platform,…
Mandalorion – identifying and quantifying isoforms from accurate full-length transcriptome sequencing reads
Researchers from the University of California Santa Cruz have developed and benchmarked Mandalorion v4.1 for…