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

Source code and description of GCSscore Package

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

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

Nextcast: a software suite to analyse and model toxicogenomics data

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

This folder contains R scripts for differential expression analysis and analyses of tissue-specific expression, inter-species conservation, and genetic variations of the CAPN10 gene in a bioinformatics project on PCOS and insulin resistance.

This repository contains scripts for VCF-GWAS file processing and microarray dataset differential expression analysis as per course requirements.

This repository contains the code for the project: Transcriptomic meta-analysis reveals up-regulation of gene expression functional in osteoclast differentiation in human septic shock

The Trypanosoma cruzi Antigen and Epitope Atlas: deep characterization of individual antibody specificities in human Chagas Disease patients across the Americas

My solutions for the project of "An Intro to Bioinformatics" - Sharif University of Technology (SUT) - Prof. Somayyeh Koohi and Prof. Ali Sharifi-Zarchi - Fall 2021(1400-1).

This repository contains scripts and detailed information for microarray-based transcriptomic analysis using NCBI GEO data for the course project.

GEO microarray data analysis

Reproducing key findings from Storey and Tibshirani (2003) using preprocessed microarray data to analyze differentially expressed genes (DEGs). Leveraging R and statistical packages to explore the impact of parametric, permutation-based, and rank-based methods on False Discovery Rates.