Stars
Python package to perform enrichment analysis from omics data.
R package expanding integrative analysis capabilities of Seurat by providing seamless access to popular integration methods and to an integration benchmarking toolkit.
A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.
R package for integrating and analyzing multiple single-cell datasets
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Finding gene expression states in scRNA-seq data
The package mixhvg uses mixture of highly variable gene selection methods to improve gene selection.
A collection of 50+ trajectory inference methods within a common interface 📥📤
scTriangulate is a Python package to mix-and-match conflicting clustering results in single cell analysis and generate reconciled clustering solutions
An ImageJ/Fiji plugin designed to effortlessly integrate Segment-Anything models (SAMs) without code.
Open source Python library for building bioimage analysis pipelines
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
A python package to analyse qPCR data for single-use or high-throughput application
LIANA+: an all-in-one framework for cell-cell communication
deMULTIplex2: robust sample demultiplexing for scRNA-seq
Track and lineage visualization with btrack and Napari 🌲