merge_id_position

This function merges a list of data frames based on common row names. It adds an 'id' column to track the row order and a 'point_position' column calculated based on the maximum 'Count' value across all data frames. It filters data frames to include only common rows, sorts rows by the length of the 'Description' in descending order, and then merges them by rows.

A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>), 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>), 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon tests (Li et al., 2022, <doi:10.1186/s13059-022-02648-4>), providing flexible and robust approaches to RNA-Seq data analysis. For more information, refer to the package vignettes and related publications.

Dongyue Yu

TransProR

Analysis and Visualization of Multi-Omics Data

merge_id_position function

<dl><dt>df_list</dt>
<dd>A list of data frames, each with a 'Description' and 'Count' column and set row names.</dd></dl>

Arguments

Merge Data Frames by Common Row Names with Additional Columns — merge_id_position

<dl>

<dt>df_list</dt>
<dd>A list of data frames, each with a 'Description' and 'Count' column and set row names.</dd>

</dl>

merge_id_position: Merge Data Frames by Common Row Names with Additional Columns

Description

Usage

Value

Arguments

Examples