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    <title>R_codes on Le-Huynh Truc-Ly</title>
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    <description>Recent content in R_codes on Le-Huynh Truc-Ly</description>
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      <title>chva.extras</title>
      <link>https://lehuynh.rbind.io/r_code/package_chva_extras/post/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
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      <description>R/chva.extras: Supplementary Tools for Climate and Health Research in Virginia
    → GitHub repository
→ Package Website
chva.extras is a collection of supplementary functions and templates designed to support climate and health research in Virginia, including tools for data manipulation, analysis, and visualization, tailored to handle large datasets.
 Installation To get the latest in-development features, install the development version from GitHub:
if(!requireNamespace(&amp;quot;devtools&amp;quot;, quietly = TRUE)) { install.</description>
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      <title>lehuynh</title>
      <link>https://lehuynh.rbind.io/r_code/package_lehuynh/post/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://lehuynh.rbind.io/r_code/package_lehuynh/post/</guid>
      <description>R/lehuynh: Personal R package
     → GitHub repository
→ Package Website
As a data enthusiast myself, I have always sought tools that streamline the data analysis process without compromising on flexibility or efficiency. Fueled by this quest, I embarked on the journey of crafting lehuynh. This package encapsulates a culmination of my passion for data and software development.
lehuynh is an R package comprising a collection of miscellaneous R functions and templates that I find particularly useful.</description>
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    <item>
      <title>omics4drug</title>
      <link>https://lehuynh.rbind.io/r_code/package_omics4drug/post/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      
      <guid>https://lehuynh.rbind.io/r_code/package_omics4drug/post/</guid>
      <description>R/omics4drug: An R toolkit for Mass Spectrometry-based Proteomics and Phosphoproteomics data analysis
    → GitHub repository
→ Package Website
omics4drug is designed for the analysis and visualization of Mass Spectrometry-based phosphoproteomics and proteomics data in drug discovery. The package provides functions for quality control, normalization, pathway enrichment analysis, and drug-target prediction.
 Installation To get the latest in-development features, install the development version from GitHub:
if(!requireNamespace(&amp;quot;devtools&amp;quot;, quietly = TRUE)) { install.</description>
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