Simulating single-cell data using gene regulatory networks 📠

Marker Selection by matching manifolds and elastic net

CALISTA: Clustering And Lineage Inference in Single Cell Transcriptional Analysis

An open-source R package for the Tapestri platform for integrative single cell multiomics data analysis

Infer and visualize cell-cell communication for single-cell RNA-seq data

Scanning sample-specific miRNA regulation from bulk and single-cell RNA-sequencing data

QuantQC is a package for quality control (QC) of single-cell proteomics data. It is optimized to work with nPOP, a method for massively parallel sample preparation on glass slides.

Analysis of single-cell RNA-seq data from patients with immunotherapy-related myocarditis.

Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.

Modeling the metabolic changes during the epithelial-to-mesenchymal transition.

The functional analysis of genes provides relevant information to understand cellular function. Further, the mapping of genetic interactions sheds light on how genes act in the emergence of cellular complexity. Here, we present the most extensive genetic interaction and morphological profiling screen in a metazoan cell to date. We profiled 680 0…

Single-cell sequencing is a novel technology to define intercellular heterogeneity, rare cell types, cell genealogies or disease evolution based on profiling thousands of cells in parallel. Identification of cellular subpopulations from heterogeneous populations of cells could be done by data clustering.

Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.

Sample size estimation for single cell studies