Discovery-driven plasma proteomics identifies a multi-protein signature for amyloid PET positivity: a machine learning analysis of the Bio-Hermes cohort (code)

This repository contains a generalized machine learning (ML) and deep learning (DL) pipeline for analyzing tabular omics datasets, including proteomics, transcriptomics, metabolomics, and other high-dimensional biomarker data. The pipeline is modular, reproducible, and suitable for binary or multiclass classification problems.

It has been tested on:

Hypertension transcriptomics data (ENSAT-HT project)
Alzheimer’s proteomics data (Bio-Hermes dataset)