Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
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Updated
May 8, 2023 - R
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets
marker-based purification of cell types from single-cell RNA-seq datasets
Accurate and fast cell marker gene identification with COSG
Marker gene profile estimation method used in NeuroExpresso manuscript
Processing NEON soil microbe marker gene sequence data into ASV tables.
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.
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
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