Analysis of single cell RNA-seq data course
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Updated
Apr 11, 2022 - TeX
Analysis of single cell RNA-seq data course
Deep probabilistic analysis of single-cell and spatial omics data
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
An interactive explorer for single-cell transcriptomics data
Fast, sensitive and accurate integration of single-cell data with Harmony
Table of software for the analysis of single-cell RNA-seq data.
Single-cell Transcriptome and Regulome Analysis Pipeline
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Papers with code for single cell related papers
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
Simple simulation of single-cell RNA sequencing data
Single cell perturbation prediction
Reference mapping for single-cell genomics
STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
Single cell trajectory detection
Spatial alignment of single cell transcriptomic data.
Pipeline for initial analysis of droplet-based single-cell RNA-seq data
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