MAAPster is a comprehensive tool to perform transcriptome analysis of human or mouse Affymetrix gene expression data
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Updated
Jan 23, 2024 - R
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
NormalizeQuantiles.jl implements quantile normalization
Collection of gene expression datasets
PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
An R tool to detect and correct batch-effects in gene-expression data (Microarray and bulk-RNAseq))
Acute Myeloid Leukemia Microarray Analysis
Scripts using GEOquery package to fetch expression matrices and phenotypic data associated with GSE datasets
Source code and description of GCSscore Package
Analysis of long continuous stretches of homozygosity of the human genome.
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
plant microarray analysis
In this project, we designed a pipeline to identify new biomarkers with microarray analysis. (AI & Intelligent Medicine, Spring 2022).
This R script is used to analyze microarray data acquired by an Agilent SureScan Microarray Scanner.
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
Tumor Identification Based on Machine Learning Analysis of Gene Expression (2024)
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
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
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