Bioconductor cheat sheet
- Updated
Aug 26, 2024 - HTML
Bioconductor cheat sheet
Python library to access Gene Expression Omnibus Database (GEO)
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
🍪 SEnsible Step-wise Analysis of DNA MEthylation BeadChips
R package for normalizing RNA-seq data to make them comparable to microarray data.
Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Microarray Analysis Pipeline in Python
Cross-platform GUI desktop application for making biological heatmaps
🔬 R package: Analysis of Large Affymetrix Microarray Data Sets
analyze_geo_microarrays.py : Differential expression analysis of published microarrays datasets from the NCBI Gene Expression Omnibus (GEO)
Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia
UNet 2.0 - Pytorch implementation of the U-Net 2.0 for image semantic segmentation, with processing blocks for noisy images
Collection of gene expression datasets
Genomic data manipulation tool
SAGA: Simulated annealing aided genetic algorithm for gene selection from microarray data
Latex scripts to compile my PhD thesis
Deconer: A Comprehensive and Systematic Cell Type Deconvolution Evaluator
R package for visualization of omics data
bimodal DNN for NSCLC patient overall survival prediction
Add a description, image, and links to the microarray topic page so that developers can more easily learn about it.
To associate your repository with the microarray topic, visit your repo's landing page and select "manage topics."