Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data.
Bioconductor uses the R statistical programming language, and is open source and open development.
It has two releases each year, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.

Scientific topics: Statistics and probability

Authors: Jacqueline Buros

External resources:
Introduction to Bayesian Inference using Stan with Applications to Cancer Genomics https://tess.elixir-europe.org/materials/introduction-to-bayesian-inference-using-stan-with-applications-to-cancer-genomics Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Statistics and probability