Topic: marker-genes Goto Github
Some thing interesting about marker-genes
Some thing interesting about marker-genes
marker-genes,CRAFT: Cellular Reprogramming Analysis with Integrated Framework and Mechanistic Insight
User: avani7
marker-genes,MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.
Organization: cai-lab-at-university-of-michigan
Home Page: https://micv.works/
marker-genes,marker-based purification of cell types from single-cell RNA-seq datasets
Organization: carmonalab
marker-genes,Processing NEON soil microbe marker gene sequence data into ASV tables.
User: claraqin
marker-genes,A library for differential expression and gene set enrichment analysis based on hydra and pydantic.
User: euxhenh
marker-genes,A tool for identifying phylogenetic marker genes in Nucleocytoviricota (giant viruses) and generating concatenated alignments.
User: faylward
marker-genes,Accurate and fast cell marker gene identification with COSG
User: genecell
marker-genes,MICTI- Marker gene Identification for Cell Type Identity
User: insilicolife
Home Page: https://pypi.org/project/MICTI/
marker-genes,Software suite for marker gene identification and cell type integration from single cell RNA-sequencing data
Organization: jcventerinstitute
Home Page: https://jcventerinstitute.github.io/celligrate/
marker-genes,A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing
Organization: jcventerinstitute
marker-genes,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 type, using its marker genes as indicators, we apply Logistic Regression on the complete set of genes with differential expression p-values to calculate a cell-type significance p-value. Finally, these p-values are compared to predict which one(s) are likely to be responsible for the differential gene expression pattern observed in the bulk RNA-seq experiments.
User: marvinquiet
marker-genes,Permutation testing in single cell analysis
User: melodyjin-y
marker-genes,Marker gene profile estimation method used in NeuroExpresso manuscript
Organization: pavlidislab
Home Page: http://www.eneuro.org/content/4/6/ENEURO.0212-17.2017
marker-genes,A hybrid approach to find spatially relevant marker genes in image based spatial transcriptomics data
Organization: phipsonlab
marker-genes,
Organization: phipsonlab
marker-genes,Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets
Organization: rnabioco
Home Page: https://rnabioco.github.io/clustifyr/
marker-genes,Performing scRNA-Seq analysis using OpenAI API calls
User: tarsus-lam
marker-genes,scCTS: identifying the cell type specific marker genes from population-level single-cell RNA-seq
User: torydeng
marker-genes,Compare several feature selection methods in scRNA-seq analysis
User: torydeng
marker-genes,Interactive visualization of marker genes and clustering in Slide-seq and single cell RNAseq data.
User: tudaga
marker-genes,neonMicrobe: Processing NEON soil microbe marker gene sequence data into ASV tables, duplicated from https://github.com/claraqin/neonMicrobe
Organization: zhulabgroup
marker-genes,Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
User: zjufanlab
Home Page: https://www.sciencedirect.com/science/article/pii/S2589004220300663
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