ML IsolationForest + PyTorch autoencoder anomaly detection · supervised stress-day classifier (logistic + random forest) · semi-supervised label propagation · PCA + KMeans + Marchenko-Pastur denoising ...
This project analyses publicly available microarray gene expression data (GSE42568) to identify differentially expressed genes between breast cancer and healthy tissue, and builds a machine learning ...
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