Graphical Models for sc-RNA seq Analysis
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Updated
Dec 1, 2018 - Python
Graphical Models for sc-RNA seq Analysis
Handlers and utilities for Contextualized analysis of single-cell datasets.
Generate the signature subway and stream plots
Step one of the STREAM ssRNA-Seq Trajectory pipeline
Single-Cell Data Analysis Tools
Pipeline for processing inDrops sequencing data
Dynamically-Encoded Latent Transcriptomic pattern Analysis by Topic modeling
A novel method for single-cell diagonal integration: scConfluence
Scripts for single cell variant calling
Detect transition genes for each branch of the trajectory.
Awesome single-cell CITE-sequencing Pipeline
Web application for exploration of scRNA-seq datasets
Streamlit App to explore 2D Neuron Morphologies from Gene Expression
Code for the paper "scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration"
Simulation/s and manipulation/s of single neurons and networks in Python and Matlab
Ontology for whole-cell modeling
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
Making cancer classification with knn module (Kaggle Expression)
Cell approximate nearest neighbors (ANN)
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