title: Trends in modeling Biomedical Complex Systems.
abstract: In this paper we provide an introduction to the techniques for multi-scale complex biological systems, from the single bio-molecule to the cell, combining theoretical modeling, experiments, informatics tools and technologies suitable for biological and biomedical research, which are becoming increasingly multidisciplinary, multidimensional and information-driven. The most important concepts on mathematical modeling methodologies and statistical inference, bioinformatics and standards tools to investigate complex biomedical systems are discussed and the prominent literature useful to both the practitioner and the theoretician are presented.
authors.affiliation: Institute of Biomedical Technology, National Research Council, Milan, Italy. luciano.milanesi@itb.cnr.it
authors.forename: Luciano
authors.initials: L
authors.lastname: Milanesi
authors.forename: Paolo
authors.initials: P
authors.lastname: Romano
authors.forename: Gastone
authors.initials: G
authors.lastname: Castellani
authors.forename: Daniel
authors.initials: D
authors.lastname: Remondini
authors.forename: Petro
authors.initials: P
authors.lastname: Liò
mesh_terms: D019295:Computational Biology / Q000379:methods* / Q000639:trends; D004194:Disease; D006801:Humans; D008954:Models, Biological; D049490:Systems Biology / Q000639:trends*