Lists (5)
Stars
State is a machine learning model that predicts cellular perturbation response across diverse contexts
Cell2Sentence: Teaching Large Language Models the Language of Biology
Deep probabilistic analysis of single-cell and spatial omics data
Single-cell analysis in Python. Scales to >100M cells.
Optax is a gradient processing and optimization library for JAX.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Survival analysis built on top of scikit-learn
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
source text for Polyform Project licenses
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
LINE’s first custom typeface, reflecting the brand’s identity of convenience and friendliness with a unique, geometry-based design.
Flax is a neural network library for JAX that is designed for flexibility.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
CZ CELLxGENE Discover Census
A clean book theme for scientific explanations and documentation with Sphinx
Machine learning-based approach for the inference of gene regulatory networks from expression data.
Imputation method for scRNA-seq based on low-rank approximation
Tutorials, workflows, and convenience scripts for Single Cell Portal
Models that demonstrate the syntax and functionality of BioNetGen language and simulation tools.
Ysabeau: The essence of Garamond in an open-source sans-serif typeface
Scripts used in the paper "Control of cell state transitions" by Rukhlenko et al.