IntLIM: Integration of Omics Data Using Linear Modeling

This workflow takes analyte levels from two different types of analytes (e.g. gene expression and metabolite abundance), meta-information on each analyte type, and sample outcome and metadata to identify analyte pairs that are significantly associated with a continuous or discrete outcome (e.g. drug response or tumor type). The following references describe the methods in this package: (1) Jalal K. Siddiqui, et al. (2018) <doi:10.1186/s12859-018-2085-6>, (2) Andrew Patt, et al. (2019) <doi:10.1007/978-1-4939-9027-6_23>.

Package details

AuthorJalal Siddiqui [aut], Shunchao Wang [aut], Rohith Vanam [aut], Elizabeth Baskin [aut], Tara Eicher [aut, cre], Kyle Spencer [aut], Ewy Mathe [aut]
MaintainerTara Eicher <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the IntLIM package in your browser

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

IntLIM documentation built on Aug. 22, 2022, 5:05 p.m.