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PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Python package to perform enrichment analysis from omics data.
Synthetic datasets for geoscience (geo)statistical modeling
Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
Python package to find communication-driven intercellular flows from single-cell RNA-sequencing and spatial transcriptomics data.
Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
A pytorch package for non-negative matrix factorization.
很多镜像都在国外。比如 gcr 。国内下载很慢，需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。
Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
Python package to simplify plotting of metric like ROC curve, confusion matrix etc..
Interactive Data Visualization in the browser, from Python
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
LIANA+: an all-in-one framework for cell-cell communication
CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data
Python implementation of Gene Trajectory
A novel machine learning pipeline to analyse spatial transcriptomics data
Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics (cell2location model)