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#

marker-genes

Here are 23 public repositories matching this topic...

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

  • UpdatedMay 8, 2023
  • R

Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets

  • UpdatedMar 17, 2025
  • R

marker-based purification of cell types from single-cell RNA-seq datasets

  • UpdatedFeb 3, 2025
  • R

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

  • UpdatedMar 17, 2025
  • HTML

Accurate and fast cell marker gene identification with COSG

  • UpdatedDec 24, 2022
  • R

Marker gene profile estimation method used in NeuroExpresso manuscript

  • UpdatedJul 11, 2019
  • R

Processing NEON soil microbe marker gene sequence data into ASV tables.

  • UpdatedApr 9, 2024
  • R

A tool for identifying phylogenetic marker genes in Nucleocytoviricota (giant viruses) and generating concatenated alignments.

  • UpdatedFeb 17, 2024
  • Python
MiCV

MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.

  • UpdatedJan 23, 2023
  • CSS

Interactive visualization of marker genes and clustering in Slide-seq and single cell RNAseq data.

  • UpdatedMay 11, 2020
  • Jupyter Notebook

Compare several feature selection methods in scRNA-seq analysis

  • UpdatedFeb 12, 2023
  • Python

A library for differential expression and gene set enrichment analysis based on hydra and pydantic.

  • UpdatedAug 8, 2024
  • Python

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…

  • UpdatedSep 11, 2022
  • R

Software suite for marker gene identification and cell type integration from single cell RNA-sequencing data

  • UpdatedJun 7, 2024
  • HTML

A hybrid approach to find spatially relevant marker genes in image based spatial transcriptomics data

  • UpdatedMar 2, 2025
  • R

scCTS: identifying the cell type-specific marker genes from population-level single-cell RNA-seq

  • UpdatedOct 18, 2024
  • R

Permutation testing in single cell analysis

  • UpdatedMay 17, 2022
  • R

MICTI- Marker gene Identification for Cell Type Identity

  • UpdatedSep 30, 2019
  • Jupyter Notebook

neonMicrobe: Processing NEON soil microbe marker gene sequence data into ASV tables, duplicated fromhttps://github.com/claraqin/neonMicrobe

  • UpdatedJan 15, 2023
  • HTML

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