Bioconductor cheat sheet
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Updated
Feb 17, 2022 - R
Bioconductor cheat sheet
Python library to access Gene Expression Omnibus Database (GEO)
🍪 SEnsible Step-wise Analysis of DNA MEthylation BeadChips
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
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
Cross-platform GUI desktop application for making biological heatmaps
Microarray Analysis Pipeline in Python
🔬 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)
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
Collection of gene expression datasets
Latex scripts to compile my PhD thesis
SAGA: Simulated annealing aided genetic algorithm for gene selection from microarray data
Genomic data manipulation tool
R package for visualization of omics data
bioTEA - A user friendly tool to perform transcript expression analysis
bimodal DNN for NSCLC patient overall survival prediction
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