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A curated list of resources for using LLMs to develop more competitive grant applications.
Processing, plotting, and interactive eda of full-length scRNA-seq as seurat objects
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