"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.

Tumor Identification Based on Machine Learning Analysis of Microarray Data (2024)

PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery

Project for the course of Network Based Data Analysis 💻

plant microarrya analysis from expression datasets

GEO microarray data analysis

NormalizeQuantiles.jl implements quantile normalization

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

Collection of gene expression datasets

Microarray Data Analysis | Bioinformatics Course Project, Fall 2022

Source code and description of GCSscore Package

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).

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

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

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

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

Visualization of co-expression networks

Selection of genes to be cultured and studied on-board for the AcubeSAT nanosatellite project. Microarray data analysis in R. Meta-analysis in R. Literature review and more