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Colorectal cancer CMs subtyping and personalized medication recommendation based on RNA seq pathway analysis
Extracting High-Quality Features From Biomedical Datasets Using Multimodal Autoencoders
This repository contains code for MFmap (model fidelity map), a semi-supervised generative model integrating gene expression, copy number and mutation data, matching cell lines to cancer subtypes. MFmap compresses high dimensional omics data of cell lines and bulk tumours into subtype informative low dimensional latent representations and predicts the subtype of cell lines with high accuracy and good generative performance. http://h2926513.stratoserver.net:3838/MFmap_shiny/
GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer
Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold
Colorectal cancer CMSs subtyping and personalized medication recommendation based on RNA seq pathway analysis