scoring_data

Simulated dataset containing normalized immune cell type scores across
biological samples with technical replicates.

datasets

Facilitates efficient visualization of Relative Synonymous Codon Usage patterns across species. Based on analytical outputs from 'codonW', 'MEGA', and 'Phylosuite', it supports multi-species 'RSCU' comparisons and allows users to explore visual analysis of structurally similar datasets.

Xunhuan Ding

ggmRSCU

Visualizing Multi-Species Relative Synonymous Codon Usage and
Extensible Data Exploration

Mingru Fu

Guojun Xing

Xinxin Ding

Xiaoli Liu

Tao Sun

scoring_data function

A data frame with 207 rows and 5 variables:<dl>
<dt>Sample</dt>
<dd>Character vector indicating sample groups (e.g., "A-CP4-T",
 "CP4", "NTC")</dd><dt>Replicate</dt>
<dd>Character vector identifying technical replicates
 (Rep1-Rep6)</dd><dt>Total_Score</dt>
<dd>Numeric total score per replicate for normalization</dd><dt>CellType</dt>
<dd>Character vector specifying immune cell types</dd><dt>Score</dt>
<dd>Numeric normalized cell type score</dd>
</dl>

Format

Cell Scoring Data — scoring_data

A data frame with 207 rows and 5 variables:<dl>
<dt>Sample</dt>
<dd>Character vector indicating sample groups (e.g., "A-CP4-T",
 "CP4", "NTC")</dd>

<dt>Replicate</dt>
<dd>Character vector identifying technical replicates
 (Rep1-Rep6)</dd>

<dt>Total_Score</dt>
<dd>Numeric total score per replicate for normalization</dd>

<dt>CellType</dt>
<dd>Character vector specifying immune cell types</dd>

<dt>Score</dt>
<dd>Numeric normalized cell type score</dd>


</dl>

scoring_data: Cell Scoring Data

Description

Usage

Arguments

Format