A Gentle Introduction to R for Biologists
19 chapters covering R fundamentals, data manipulation, visualization, statistical testing, and bioinformatics tools (Bioconductor, limma, edgeR). Written in Thai for biologists with no prior programming experience.
Read the bookProteomics Blog
Ideas, experiences, and knowledge in proteomics - whatever I’m exploring, working on, or feel like writing about.
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A collection of scripts for managing mass spectrometry data processing and analysis workflows.
View on GitHubMSOmicsDesign
R package for designing mass spectrometry-based omics experiments. Supports plate design with block randomization and QC placement, and DIA window design with fixed, variable, or gas-phase fractionation isolation windows.
View on GitHubHALP Survival Model
Interactive survival prediction tool for advanced cervical cancer. Estimates recurrence-free and overall survival based on HALP score, stage, treatment modality, and histology using pre-trained Cox models.
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