Advances in Human Protein Interactome Inference

Autor: Enrico Capobianco, Elisabetta Marras
Rok vydání: 2008
Předmět:
Zdroj: Contributions to Statistics ISBN: 9783790820614
DOI: 10.1007/978-3-7908-2062-1_15
Popis: 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 e orts 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 (classi cation), inferring unknown functions (generalization), weighting interactions (scoring).
Databáze: OpenAIRE