A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
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A tool for semi-automatic cell type classification
RNA Velocity generalized through dynamical modeling
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Graph-linked unified embedding for single-cell multi-omics data integration
Official repository for the ProteinGym benchmarks
Benchmarking analysis of data integration tools
Reference mapping for single-cell genomics
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
The repository host gives no description.
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
The repository host gives no description.
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
A Network Integration Approach for Drug-Target Interaction Prediction
scPerturb: A resource and a python/R tool for single-cell perturbation data
The official NFFT library repository
AI-based pathology predicts origins for cancers of unknown primary - Nature
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC