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Predicting multiple cancer phenotypes based on somatic genomic alterations via the genomic impact transformer
A list of web-based interactive biological data visualizations.
Training and evaluating a variational autoencoder for pan-cancer gene expression data
BioDynaMo is a high-performance and modular, agent-based simulation platform.
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
The official implementation of GPFM
CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data.
Delineation of tumor cell subpopulations using MAAS
CancerDB: a computable encyclopedia about cancer.
Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer