🧪 🖥 Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
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Updated
Jan 12, 2024 - Python
🧪 🖥 Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Learn interpretable computational phenotyping models from k-merized genomic data
🧪 🖥 Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Spatial profiling toolbox for spatial characterization of tumor immune microenvironment in multiplex images
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Python implementation of the feature relevance interval (FRI) algorithm
Investigating the reproducibility of federated GNN models
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI
Code implementation of SHRED variants
Different methods for optimizing state-of-the-art feature selection methods namely SVMRFE, HSICLASSO, and mRMR.
A package for biomarker selection based on multiset multicover and the cross-entropy-method.
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
Working towards deliverable 5.3
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
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