Stars
🤖 A production-grade framework for building AI-powered applications in R.
Integrative Composable Visualization Framework for ggplot2
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Generate masks for scRNA-seq clusters on t-SNE or UMAP plots
Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.
rapids-singlecell: GPU-accelerated framework for scRNA analysis
Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
VIP cheatsheets for Stanford's CS 229 Machine Learning
The "copynumber" R package with support for hg38
Efficient and precise single-cell reference atlas mapping with Symphony
Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Framework for clustering, phenotyping, pseudotiming and inferring gene regulatory networks from single cell data
STARTRAC(Single T-cell Analysis by Rna-seq and Tcr TRACking)
Differential expression analysis for single-cell RNA-seq data.
A tool to call somatic single nucleotide variants.