title: Networks in proteomics analysis of cancer.
abstract: Proteomics provides direct biological information on proteins but is still a limited platform. Borrowing from genomics, its cancer-specific applications can be broadly categorized as (1) pure diagnostics, (2) biomarkers, (3) identification of root causes and (4) identification of cancer-specific network rewirings. Biological networks capture complex relationships between proteins and provide an appropriate means of contextualization. While playing significantly larger roles, especially in 1 and 3, progress in proteomics-specific network-based methods is lagging as compared to genomics. Rapid hardware advances and improvements in proteomic identification and quantification have given rise to much better quality data alongside advent of new network-based analysis methods. However, a tighter integration between analytics and hardware is still essential for network analysis to play more significant roles in proteomics analysis.
authors.affiliation: Department of Computer Science, National University of Singapore, COM1 Building, 13 Computing Drive, Singapore 117417, Singapore; Department of Computing, Imperial College London, Exhibition Road, London SW7 2AZ, United Kingdom.
authors.forename: Wilson Wen Bin
authors.initials: WW
authors.lastname: Goh
authors.forename: Limsoon
authors.initials: L
authors.lastname: Wong
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D023281:Genomics; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000175:diagnosis / Q000209:etiology / Q000235:genetics / Q000378:metabolism*; D060066:Protein Interaction Maps; D011506:Proteins / Q000032:analysis / Q000235:genetics / Q000378:metabolism; D040901:Proteomics / Q000379:methods
chemical_list: D014408:Biomarkers, Tumor; D011506:Proteins