High-throughput single-cell quantitative real-time polymerase chain reaction (qPCR) is a promising technique allowing for new insights in complex cellular processes. Source text: Buettner et al., 2014.

Desktop app
GPLVM for censored… GPLVM for censored data

GPLVM for censored data

An approach for performing probabilistic principal component analysis (PCA) for…

An approach for performing probabilistic principal component analysis (PCA) for censored data within the framework of Gaussian process latent variable models (GPLVMs). We showed that for single-cell…

Web app
Single Cell… Single Cell Expression Visualiser

SCExV Single Cell Expression Visualiser

A webtool developed to expedite the analysis of single cell qRT-PCR data. SCExV…

A webtool developed to expedite the analysis of single cell qRT-PCR data. SCExV is a freely available webtool created to import, filter, analyse, and visualise single cell gene expression data whilst…

Desktop app
vargplvm vargplvm

vargplvm

A framework for resolving differences in gene expression patterns for the early…

A framework for resolving differences in gene expression patterns for the early mouse embryo based on single-cell gene expression data. Therefore, a nonlinear mapping between a low-dimensional latent…

Desktop app
G T A T C G C T A Model-based Analysis… Model-based Analysis of Single-cell…

MAST Model-based Analysis of Single-cell Transcriptomics

A flexible statistical framework for the analysis of single-cell RNA sequencing…

A flexible statistical framework for the analysis of single-cell RNA sequencing data. MAST is suitable for supervised analyses about differential expression of genes and gene modules, as well as…

Desktop app
SingCellNet SingCellNet

SingCellNet

An approach to the inference of gene regulatory network (GRN) from single-cell…

An approach to the inference of gene regulatory network (GRN) from single-cell expression data. It integrates the structure of a cell lineage tree with transcriptional patterns from single-cell data.…

Desktop app
Multiresolution… Multiresolution Correlation Analysis

MCA Multiresolution Correlation Analysis

A useful method for the identification of subpopulations in low-dimensional…

A useful method for the identification of subpopulations in low-dimensional expression data, as emerging from qPCR or FACS measurements. With MCA it is possible to investigate the robustness of…

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