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gladelephant's Projects

pcatools icon pcatools

PCAtools: everything Principal Components Analysis

perception icon perception

Utilizing single-cell omics from patients tumor to predict response and resistance.

phenograph icon phenograph

Subpopulation detection in high-dimensional single-cell data

phiclust icon phiclust

A clusterability measure for scRNA-seq data.

pisces-1 icon pisces-1

R package for Protein activity analysis of single-cell RNAseq.

projectils icon projectils

Interpretation of T cell states using reference single-cell atlases

pycistopic icon pycistopic

pycisTopic is a Python module to simultaneously identify cell states and cis-regulatory topics from single cell epigenomics data.

r-color-palettes icon r-color-palettes

Comprehensive list of color palettes available in R โค๏ธ๐Ÿงก๐Ÿ’›๐Ÿ’š๐Ÿ’™๐Ÿ’œ

ra_scrna icon ra_scrna

Rheumatoid Arthritis project. single cell RNA sequencing data.

rcellmarker icon rcellmarker

Identify cell type based on cell markers for single cell squencing

rna-velocity-tutorial icon rna-velocity-tutorial

Contains a Jupyter notebook tutorial for using RNA velocity on single cell RNA sequencing data.

rodent_wound icon rodent_wound

Companion repository for Abbasi, Sinha, Labit et al. 2020.

rogue icon rogue

Assessing the purity of single cell population

rphenograph icon rphenograph

Rphenograph: R implementation of the PhenoGraph algorithm

sc-shc icon sc-shc

Significance analysis for clustering single-cell RNA-sequencing data

sccoda icon sccoda

A Bayesian model for compositional single-cell data analysis

sccustomize icon sccustomize

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

sceiad icon sceiad

Snakefile-based process to turn 1.4 million ocular cells into a unified meta-atlas

scenic icon scenic

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

scenicplus icon scenicplus

SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.

scent icon scent

Estimation of Single-Cell Potency with Single Cell Entropy

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