Stochastic methods in cancer research

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 i...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autore principale: Paola M. Rancoita
Natura: Online
Lingua:inglese
Pubblicazione: Ledizioni 2021
Soggetti:
Accesso online:15498
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
Descrizione
Riassunto: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.