01028nam a2200241 a 4500991000459369707536091125s2003 it 000 0 ita db13860550-39ule_instSet. Economia - SEMSita004.67Bertini, Patrizia472102Accessibilità e tecnologie :dal web alla telefonia 3G alla domotica : la sfida dell'accesso alla società dell'informazione /Patrizia Bertini ; con la collaborazione di Marco TrevisanMilano :Pearson education Italia,2003xxiv, 263 p. ;24 cmSiti webAccessibilitàMinoratiAssistenzaSussidi elettroniciTrevisan, Marco.b1386055025-09-1425-11-09991000459369707536LE025 ECO 004 BER01.0112025000101326le025pE0.00-l- 00000.i1503720425-11-09Accessibilità e tecnologie231162UNISALENTOle02525-11-09ma -itait 0004291nam 22007215 450 991029896670332120230119011645.01-4939-1381-610.1007/978-1-4939-1381-7(CKB)3710000000227338(EBL)1964972(OCoLC)890140901(SSID)ssj0001338431(PQKBManifestationID)11710522(PQKBTitleCode)TC0001338431(PQKBWorkID)11344375(PQKB)10962485(MiAaPQ)EBC1964972(DE-He213)978-1-4939-1381-7(PPN)18062265X(EXLCZ)99371000000022733820140830d2014 u| 0engur|n|---|||||txtccrCancer Bioinformatics /by Ying Xu, Juan Cui, David Puett1st ed. 2014.New York, NY :Springer New York :Imprint: Springer,2014.1 online resource (386 p.)Description based upon print version of record.1-4939-1380-8 Includes bibliographical references at the end of each chapters and index.Basic cancer biology -- Omic data, information derivable and computational needs -- Cancer classification and molecular signature identification -- Understanding cancer at the genomic level -- Elucidation of cancer divers through comparative omic analyses -- Hyaluronic acid: A key facilitator of cancer evolution -- Multiple routes for survival: Understanding how cancer evades apoptosis -- Cancer development in competitive and hostile environments -- Cell proliferation from regulated to deregulated state via epigenomic responses -- Understanding cancer invasion and metastasis -- Cancer after metastasis: The second transformation -- Searching for cancer biomarkers in human body fluids -- In silico investigation of cancer using publicly available data -- Understanding cancer as an evolving complex system: our perspective.This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.BioinformaticsCancerResearchSystems biologyMedicineComputational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Cancer Researchhttps://scigraph.springernature.com/ontologies/product-market-codes/B11001Systems Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L15010Biomedicine, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/B0000XBioinformatics.CancerResearch.Systems biology.Medicine.Computational Biology/Bioinformatics.Cancer Research.Systems Biology.Biomedicine, general.004570570285610Xu Ying1960-authttp://id.loc.gov/vocabulary/relators/aut1165726Cui Juanauthttp://id.loc.gov/vocabulary/relators/autPuett Davidauthttp://id.loc.gov/vocabulary/relators/autBOOK9910298966703321Cancer Bioinformatics2999038UNINA