Important cellular functions information can be obtained from decomposing Protein-Protein Interaction Networks (PPIN) into constituent groups (complexes, functional modules). Starting from well-covered model organisms (Yeast), our current efiorts are shifting to a complex target organism (Homo Sapiens). It is through statistical techniques and machine learning algorithms that one can proceed with probabilistic steps: assigning unlabelled proteins (classification), inferring unknown functions (generalization), weighting interactions (scoring).
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Capobianco, E., Marras, E. (2008). Advances in Human Protein Interactome Inference. In: Functional and Operatorial Statistics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2062-1_15
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DOI: https://doi.org/10.1007/978-3-7908-2062-1_15
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