OutputData

Output data into individual CSV files. All data will be zipped into one file with all data.

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>.

Tara Eicher

IntLIM

Integration of Omics Data Using Linear Modeling

Jalal Siddiqui

Shunchao Wang

Rohith Vanam

Elizabeth Baskin

Kyle Spencer

Ewy Mathe

OutputData function

<dl><dt>inputData</dt>
<dd>data output from ReadData() or FilterData() function</dd>
<dt>filename</dt>
<dd>name of file to be output (default: 'tempdir/output.zip')</dd></dl>

Arguments

Output data into individual CSV files.  All data will be zipped into one file with all data. — OutputData

<dl>

<dt>inputData</dt>
<dd>data output from ReadData() or FilterData() function</dd>


<dt>filename</dt>
<dd>name of file to be output (default: 'tempdir/output.zip')</dd>

</dl>

OutputData: Output data into individual CSV files. All data will be zipped into one file with all data.

Description

Usage

Value

Arguments