Stochastic methods in cancer research

dc.contributor.author	Paola M. Rancoita	*
dc.date.accessioned	2021-02-12T04:35:00Z
dc.date.available	2021-02-12T04:35:00Z
dc.date.issued	2011	*
dc.date.submitted	2013-09-20 17:25:57	*
dc.identifier	15498	*
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/60047
dc.description.abstract	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.	*
dc.language	English	*
dc.relation.ispartofseries	Mathematical Sciences	*
dc.subject	QA1-939	*
dc.subject.classification	bic Book Industry Communication::P Mathematics & science	en_US
dc.title	Stochastic methods in cancer research	*
dc.type	book
oapen.relation.isPublishedBy	cb2a1db5-5754-4ab6-bb64-d635458e30c5	*
oapen.relation.isbn	9788895994581	*

Fichier(s) constituant ce document

Fichiers	Taille	Format	Vue
Il n'y a pas de fichiers associés à ce document.

Excepté là où spécifié autrement, la license de ce document est décrite en tant que https://creativecommons.org/licenses/by-nc-sa/4.0/