Lists (1)
Stars
A curated list of resources for using LLMs to develop more competitive grant applications.
Code to reproduce analysis and figures for 'Genetic mapping of etiologic brain cell types for obesity' (Timshel, eLife 2020)
R Package for Single-Cell Dataset Processing and Visualization
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Useful functions to make your scRNA-seq plot more cool!
https://www.sc-best-practices.org
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
Predict RNA velocity through deep learning
meta-analysis of new and published human WAT single cell data
Scripts for analysis of primary and supplementary snRNA-seq datasets from epididymal white adipose tissue from lean and obese mice.
A toolkit of spatial transcriptomic analysis.
This is the alpha version of the CellOracle package
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
LocasaleLab / Single-Cell-Metabolic-Landscape
Forked from zhengtaoxiao/Single-Cell-Metabolic-LandscapePipeline for exploring metebolic heterogeneity at single-cell resolution
RNA Velocity generalized through dynamical modeling
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
The R script and relative data set for Integrated single-cell transcriptomics and proteomics reveal cellular-specific response and microenvironment remodeling in aristolochic acid nephropathy
A simple toolbox of ImageJ plugins for quantifying adipocyte morphology and function in tissues and in vitro.
Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA
automated prediction of adipose browning capacity through systematic integration of transcriptional profiles
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Software tool for identifying lipids in LC-MS/MS-based lipidomics data