Classifying Breast Cancer Molecular Subtypes
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Updated
Feb 28, 2021 - Python
Classifying Breast Cancer Molecular Subtypes
Bioinformatics Classifier Project — TCGA BRCA Dataset. Exploratory analysis and machine learning classification on TCGA BRCA gene expression data, focusing on PAM50 breast cancer subtypes.
PAM50 classifier for Prostate Cancer in Python
Transcriptomics-based METABRIC PAM50 breast cancer subtype classification with a reproducible Python ML pipeline.
A containerised BIDS-App for reproducible spinal-cord fMRI preprocessing with per-vertebral-level quality control
TCGA breast cancer PAM50 subtype classification pipeline with biomarker clinical validation — TCGAbiolinks/DESeq2, XGBoost/TabNet/Multi-task, SHAP stability analysis, KM/Cox survival, CORAL domain adaptation, Knowledge Graph
Multi-task VAE for BRCA cancer detection and PAM50 subtype classification on TCGA/GTEx gene expression, with sparse gene-panel analysis.
This GitHub repository contains the code used in the data analysis portion of the Bachelor's Degree Project: Identification of an Immune Infiltration Signature in Breast Cancer Subtypes and its Association with Tumor Clinicopathological Characteristics and Patient Outcome by Linn Berglund, Olivia Blomberg, Stephanie Mobedjina, & Alice Åhlund
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