Microarray analysis with Bayesian hierarchical clustering and Bayesian network clustering on three microarray datasets. Pearson's correlation coefficient and an augmented Markov blanket are used for feature selection.
Acute Myeloid Leukemia Microarray Analysis
Reproducible WGCNA pipeline for PCOS microarray dataset GSE48301
MicAff is a genomic data analysis tool. Application made with Shiny. It is used to analyze the data from the microarray experiment. Running on a local server, it allows you to load CEL data, their initial processing and further analysis.
Reproducible bioinformatics and machine learning workflows for the AI & Omics Research Internship 2025. Includes modules for clinical data cleaning, Differential Expression Analysis (DEA), and a hybrid R/Python pipeline for Huntington's Disease biomarker discovery.
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