Stars
A Hierarchical Sheaf Spectral Embedding Framework for Single-Cell Analysis
[AAAI 2026] scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
A high-performance distributed out-of-core framework for tera-scale genomic PCA across multi-node HPC clusters.
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Topological PCA for scRNA-seq dimensionality reduction
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
lowfat - slim your command output. strips noise, saves tokens.
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Main repository for GSEA OmniBenchmark workflow, containing definition yaml and containers for running benchmarking pipeline with singularity
Universal Rust multiplexer with a typed SDK — drive any CLI or TUI app from code. Native on Linux, macOS, and Windows.
Learning Single-Cell Perturbation Responses using Neural Optimal Transport
Shi et al. 2026 Genome-scale functional mapping of the mammalian whole brain with in vivo Perturb-seq
R Interface to the Spectra Library for Large Scale Eigenvalue and SVD Problems
An R package for feature selection in topological spaces.
The only tool you need to know what is happening and how to fix it.
live recipes to contribute to omni-scrna benchmark
Demonstrate that UMAP and Leiden analysis is not reproducible between different cpu architectures.
rapids-singlecell: GPU-accelerated framework for scRNA analysis
An add-on package for R primarily aimed at improving access to R for blind users. The package contains tools and functions that will help get a student through their first year statistics course, a…