MAAPster is a comprehensive tool to perform transcriptome analysis of human or mouse Affymetrix gene expression data

Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia

Collection of gene expression datasets

NormalizeQuantiles.jl implements quantile normalization

PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery

Source code and description of GCSscore Package

Acute Myeloid Leukemia Microarray Analysis

"Identification of Biomarkers for Early-Stage Hepatocellular Carcinoma (HCC)" aims to address the critical global challenge of late-stage cancer diagnosis, which significantly lowers patient survival rates. It explores microarray gene expression datasets from GEO to identify potential early-stage biomarkers for improved patient outcomes.

An R tool to detect and correct batch-effects in gene-expression data (Microarray and bulk-RNAseq))

Tumor Identification Based on Machine Learning Analysis of Microarray Data

Python package for processing and analyzing Illumina DNA methylation data

A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.

Nextcast: a software suite to analyse and model toxicogenomics data

Identification for Key Pathways and Genes in Polycystic Ovary Syndrome (PCOS) using a multi-omics approach, as part of the Applied High Throughput Analysis course at Ghent University

Analysis of long continuous stretches of homozygosity of the human genome.

In this project, we designed a pipeline to identify new biomarkers with microarray analysis. (AI & Intelligent Medicine, Spring 2022).

Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets

This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.

Visualization of co-expression networks

Project for the course of Network Based Data Analysis 💻