analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
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Updated
Aug 1, 2021 - Python
analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
UNet 2.0 - Pytorch implementation of the U-Net 2.0 for image semantic segmentation, with processing blocks for noisy images
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
Genomic data manipulation tool
Python port of R limma for differential expression analysis
A toolkit for navigating and analyzing gene expression datasets
Beacon v2 - CNAG Biomedical Informatics - Tools (Data ingestion tools)
bioTEA - A user friendly tool to perform transcript expression analysis
SparkRMA: Robust Multi-array Average (RMA) In Apache Spark
A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.
Label-driven comparison of gene expression regions across measurement technologies. Microarray, bulk RNA-seq and single-cell in one question, local first, no API keys.
extract experimental metadata from GEO xml files
CGI server for searching and visualizing array database
Differential Expression Analysis Pipeline
Genetic-embedded Nuclear Reaction Optimization with F-score filtering for gene selection in cancer classification. Published in IJMS 2025.
Automated GEO dataset search, download, and preprocessing tool for gene expression meta-analyses
F-score filtering combined with Nuclear Reaction Optimization for gene selection in cancer classification. Methodology, datasets, and results from the CIMB 2025 paper.
Unsupervised clustering and differential expression of GABAergic interneuron markers in postmortem DLPFC: schizophrenia vs. control (GSE53987)
Tuberculosis@LOG and NPR, Macrophage gene expression time series.
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