randel/MIND: Using Tissue Expression to Estimate Sample-/Subject- And Cell-Type-Specific Gene Expression via Deconvolution

Methods to glean more insights from bulk gene expression: MIND and bMIND. MIND borrows information across multiple measurements of the same tissue per subject, such as multiple regions of the brain, using an empirical Bayes approach to estimate subject- and cell-type-specific (CTS) gene expression via deconvolution. The bMIND algorithm provides Bayesian estimates of sample-level CTS expression for each bulk sample.

Getting started

Package details

AuthorJiebiao Wang
MaintainerJiebiao Wang <randel.wang@gmail.com>
LicenseGPL
Version0.3.0
URL https://github.com/randel/MIND
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("randel/MIND")
randel/MIND documentation built on Sept. 5, 2020, 2:01 a.m.