CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.

Version 4 of the EMBL-EBI Ontology Lookup Service (OLS)

Ontology Lookup Service from SPOT at EBI

A tool for semi-automatic cell type classification

a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

Metadata indexer and query service used for AnVIL, HCA, LungMAP, and CGP

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An Open Source Machine Learning Framework for Everyone

Optional static typing for Python

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

Data validation using Python type hints

Annotated data.

scripts and notebooks from sanbomics

A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.

User-friendly tool to infer cell-cell interactions and communication from gene expression of interacting proteins

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl

Bayesian Modeling and Probabilistic Programming in Python

renv: Project environments for R.

deconvBenchmarking in an R package for comprehensive evaluation of the deconvolution methods.

InstaPrism is an R package for fast implementation of BayesPrism

napari: a fast, interactive, multi-dimensional image viewer for python

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

🧮 Bayesian networks in Python

Fast, flexible and easy to use probabilistic modelling in Python.