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Reading materials |
This page contains recommended reading materials in addition to the pre-course content.
! - important
Machine Learning approaches in Integration
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- ! Feature selection
- ! Dimensionality reduction
- ! Supervised Omics integration
- ! Unsupervised Omics integration
- Multi-omics approaches to disease
Biological Network Analysis and Network Topology
- ! Network biology: understanding the cell's functional organization
- ! Network medicine: a network-based approach to human disease
- Network biology concepts in complex disease comorbidities
- Gene co-expression analysis and conserved modules
Genome-scale metabolic modeling
- ! Overview of genome-scale metabolic models
- What is flux balance analysis?
- A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models
- Human Metabolic Models: Human1 and Recon3D
- ! Reporter metabolite analysis
- Gene set enrichment analysis (GSEA) and Directional gene set analysis (GSA)
- Modeling software: Python: COBRApy, MATLAB: RAVEN and COBRA