Toward personalized acute myeloid leukemia (AML)

A collaboration with Biotech Research & Innovation Centre (BRIC), University of Copenhagen, Denmark

• Topics: Bioinformatics, Proteomics data analysis, health science, mass spectrometry
• Contributions: Data analysis, data visualization, code management
• Tools: R, RMarkdown, Git, GNU Make

Ongoing project

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This collaborative project aims to identify a broad spectrum of druggable key signaling pathways in various AML mouse models and subsequently in AML patient samples. The outcomes have the potential to pave the way for personalized AML treatments by targeting specific signaling pathways, thereby revolutionizing clinical interventions for this challenging disease.

omics4drug R-package

An R toolkit to facilitate Mass Spectrometry-based Proteomics and Phosphoproteomics data analysis.
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. https://yen-kim.github.io/omics4drug/