In montilab/K2Taxonomer: Creating annotated submodules of high-throughput data through recursive partitioning

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Introduction

To facilitate the comprehensive interrogation the output of r Githubpkg("montilab/K2Taxonomer") this package includes functionality for generating interactive dashboards, which include full compendia of results [@reed_2020]. In addition to the partition-level molecular comparisons included in these dashboards, they include functionality for performing molecular comparisons of gene expression and gene set enrichment on user-specified sets of two-or-more subgroups. Here we describe the layout and usage of these dashboards.

For more information for how to generate these dashboards go here.

The r Githubpkg("montilab/K2Taxonomer") dashboards include three tabs, described below:

• About: This is an optional tab with which the user can include information about the analysis being performed. This page is populated by a file, "about.md", included in the same directory as the dashboard file. More information about formatting this file can be found here.

• K2Taxonomer Results: This tab includes all of the results generated throughout the r Githubpkg("montilab/K2Taxonomer") workflow, including: partitioning results, partition stability, gene expression analysis, gene set enrichment, and phenotypic variable testing (optional). More information for how r Githubpkg("montilab/K2Taxonomer") estimates these results can be found here.

• Compare Multiple: This tab allows the user to perform additional molecular comparisons between subgroups, beyond the partition-level comparisons performed by r Githubpkg("montilab/K2Taxonomer") functions.

Annotation of each of these tabs is presented below. Click on any of these images to view in higher resolution

About

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r Githubpkg("montilab/K2Taxonomer") Results

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Subgroup Information

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Compare Multiple

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References

montilab/K2Taxonomer documentation built on Jan. 25, 2024, 4:29 p.m.