microarray-analysis

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

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.

Automated bioinformatics pipeline for GEO transcriptomic datasets including preprocessing, quality control, differential expression analysis, functional enrichment and automated reporting.

🧬 Analyze PCOS using WGCNA with R, uncovering novel long non-coding RNAs and their correlation with disease traits, based on public microarray data.

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.

An in-silico transcriptomic pipeline employing single-sample Gene Set Enrichment Analysis (ssGSEA) to quantify and characterize MSigDB Hallmark pathway-level host responses to acute and chronic HIV-1 infection

This repository contains multiple projects of RNA-Seq Analysis in R