IntLIM-package: IntLIM: Integration of Omics Data Using Linear Modeling

In IntLIM: Integration of Omics Data Using Linear Modeling

IntLIM: Integration of Omics Data Using Linear Modeling

Description

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) Kevin R. Coombes (2019) <https://cran.r-project.org/web/packages/ClassComparison/index.html>, (2) Jalal K. Siddiqui, et al. (2018) <doi:10.1186/s12859-018-2085-6>, (3) Andrew Patt, et al. (2019) <doi:10.1007/978-1-4939-9027-6_23>.

Author(s)

Maintainer: Tara Eicher [e-mail]

Authors:

• Jalal Siddiqui [e-mail]

• Shunchao Wang [e-mail]

• Rohith Vanam [e-mail]

• Elizabeth Baskin [e-mail]

• Kyle Spencer [e-mail]

• Ewy Mathe [e-mail]

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