2014/01/12 by Marco Scutari, Scutari, Marco
Biochemistry, Genetics and Molecular Biology · Mathematics · #Applications (stat.AP) #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Metabolomics and Mass Spectrometry Studies #Microbial Metabolic Engineering and Bioproduction #stat.AP
paper · pdf · doi:10.48550/arxiv.1401.2649
Workshop on Foundations of Biomedical Knowledge Representation, October 29 - November 2, 2012 Leiden, The Netherlands
arxiv created 2014/01/12 · openalex publication_date 2014/01/12 · arxiv updated 2014/01/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Personalised medicine strives to identify the right treatment for the right patient at the right time, integrating different types of biological and environmental information. Such information come from a variety of sources: omics data (genomic, proteomic, metabolomic, etc.), live molecular diagnostics, and other established diagnostics routinely used by medical doctors. Integrating these different kinds of data, which are all high-dimensional, presents significant challenges in knowledge representation and subsequent reasoning. The ultimate goal of such a modelling effort is to elucidate the flow of information that links genes, protein signalling and other physiological responses to external stimuli such as environmental conditions or the progress of a disease.