Graphical Models for sc-RNA seq Analysis
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Updated
Dec 1, 2018 - Python
Graphical Models for sc-RNA seq Analysis
Pipeline for processing inDrops sequencing data
Dynamically-Encoded Latent Transcriptomic pattern Analysis by Topic modeling
Generate the signature subway and stream plots
Step one of the STREAM ssRNA-Seq Trajectory pipeline
Transcriptional and epigenetic signature of muscle tissue cells linked to atrophy
Simulation/s and manipulation/s of single neurons and networks in Python and Matlab
Actual creation of the Elastic Principa Graph in the STREAM scRNASeq Trajectory analysis, packaged as a GenePattern module
Detect differentially expressed genes between pairs of trajectory branches
Cell approximate nearest neighbors (ANN)
EXPERIMENTAL translation of HCA json schema to LinkML
A collection of scripts for end-to-end, flexible and semi-automatic single-cell analysis.
Interactive diffusion map for Single-Cell Data Analysis
An optional final step to optimize branching, prune the graph or extend leaf nodes following generation of the Elastic Principal Graph
different flavors of PCA for single-cell analysis
Scripts for single cell variant calling
Detect transition genes for each branch of the trajectory.
Web application for exploration of scRNA-seq datasets
Add a description, image, and links to the single-cell topic page so that developers can more easily learn about it.
To associate your repository with the single-cell topic, visit your repo's landing page and select "manage topics."