Permutation testing in single cell analysis
-
Updated
May 17, 2022 - R
Permutation testing in single cell analysis
MICTI- Marker gene Identification for Cell Type Identity
A library for differential expression and gene set enrichment analysis based on hydra and pydantic.
neonMicrobe: Processing NEON soil microbe marker gene sequence data into ASV tables, duplicated from https://github.com/claraqin/neonMicrobe
Performing scRNA-Seq analysis using OpenAI API calls
Interactive visualization of marker genes and clustering in Slide-seq and single cell RNAseq data.
A tool for identifying phylogenetic marker genes in Nucleocytoviricota (giant viruses) and generating concatenated alignments.
Predict the celltype of a cluster from Seurat FindMarker data
CRAFT: Cellular Reprogramming Analysis with Integrated Framework and Mechanistic Insight
Software suite for marker gene identification and cell type integration from single cell RNA-sequencing data
scCTS: identifying the cell type specific marker genes from population-level single-cell RNA-seq
Compare several feature selection methods in scRNA-seq analysis
The goal of LRcell is to identify specific sub-cell types that drives the changes observed in a bulk RNA-seq differential gene expression experiment. To achieve this, LRcell utilizes sets of cell marker genes acquired from single-cell RNA-sequencing (scRNA-seq) as indicators for various cell types in the tissue of interest. Next, for each cell t…
MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.
Marker gene profile estimation method used in NeuroExpresso manuscript
Processing NEON soil microbe marker gene sequence data into ASV tables.
Accurate and fast cell marker gene identification with COSG
marker-based purification of cell types from single-cell RNA-seq datasets
Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets
Add a description, image, and links to the marker-genes topic page so that developers can more easily learn about it.
To associate your repository with the marker-genes topic, visit your repo's landing page and select "manage topics."