Toward personalized acute myeloid leukemia (AML)

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

2023 - Present

Topics: Bioinformatics · Proteomics · Biomedical Science · Mass Spectrometry

My contributions: Data analysis · Data visualization · Code management

Tools: R · R Markdown · Git · GNU Make

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.

Outcomes

[R-package] omics4drug

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Nguyen, T. K. Y., & Le-Huynh, T.-L. (2025). omics4drug v0.1.0: An R toolkit to facilitate Mass Spectrometry-based Proteomics and Phosphoproteomics data analysis (Version v0.1.0) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.17117624

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.

Explore the package at https://yen-kim.github.io/omics4drug/

[R-package] cellviability

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Nguyen, Y. T.-K., Le-Huynh, T.-L., & Theilgaard-Monch, K. (2026). cellviability (Version v0.1.3) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21820265

cellviability is designed to facilitate the analysis of cell-based drug screening experiments. The package provides functions for fitting dose-response models, estimating IC50 values, visualizing regression curves, comparing treatment groups, and evaluating drug synergy using commonly used pharmacological models.

Explore the package at https://github.com/yen-kim/cellviability