Simulating single-cell data using gene regulatory networks 📠
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Updated
Feb 21, 2024 - HTML
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
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
An example of immunopipe
Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.
Diary to a single cell RNA sequencing analysis using publicly available data
Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.
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…
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.
Modeling the metabolic changes during the epithelial-to-mesenchymal transition.
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.
Sample size estimation for single cell studies
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