02102nam 2200457zu 450 991014031080332120230125205524.0(CKB)2670000000497800(SSID)ssj0001326156(PQKBManifestationID)12618504(PQKBTitleCode)TC0001326156(PQKBWorkID)11520168(PQKB)11249843(oapen)https://directory.doabooks.org/handle/20.500.12854/60047(EXLCZ)99267000000049780020160829h20112011 fy 0engu|bz#---|||||txtrdacontentcrdamediacrrdacarrierStochastic Methods in Cancer Research applications to Genomics and Angiogenesis /Paola M.V. RancoitaLedizioni2011Milan, Italy :Ledizioni Ledi Publishing,[2011].©20111 online resource (277 pages) illustrations, chartsMathematical Sciences88-95994-58-2 Includes bibliographical references.In this thesis, I study three stochastic methods that can be applied for the analysis of data in cancer research and, in particular, to cancer genomic data and to images of angiogenic processes. Cancer is a multistep process where the accumulation of genomic lesions alters cell biology. The latter is under control of several pathways and thus, cancer can arise via different mechanisms affecting different pathways. Due to the general complexity of this disease and the different types of tumors, the efforts of cancer research cover several research areas such as, for example, immunology, genetics, cell biology, angiogenesis.CancerResearchCancerMathematicalPatternsCancerResearch.CancerMathematicalPatterns.Rancoita Paola M. V970468PQKBUkMaJRUBOOK9910140310803321Stochastic Methods in Cancer Research2205736UNINA