CEDA: CRISPR Screen and Gene Expression Differential Analysis

Provides analytical methods for analyzing CRISPR screen data at different levels of gene expression. Multi-component normal mixture models and EM algorithms are used for modeling.

Package details

AuthorLianbo Yu [aut, cre], Yue Zhao [aut], Kevin R. Coombes [aut], Lang Li [aut]
MaintainerLianbo Yu <Lianbo.Yu@osumc.edu>
LicenseApache License (== 2.0)
Version1.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CEDA")

Try the CEDA package in your browser

Any scripts or data that you put into this service are public.

CEDA documentation built on May 29, 2024, 7:44 a.m.