Year: 2010
Type: dissertation
Abstract: The novel method proposed in this thesis is able to identify functional modules making use of large-scale interaction and expression data. While theveri tion of these subnetworks remains di ult, they identify sets of proteins,\nwhich may play a key role in the development of malignancies. The modules provide an attractive basis for further research and may provide new targets for drug development.
Source: MPG.PuRe (Max Planck Society)
Author: Konstantin Pentchev
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1510831974