Modelling and comparing protein interaction networks using subgraph counts

Thesis

The astonishing progress of molecular biology, engineering and computer science has resulted in mature technologies capable of examining multiple cellular components at a genome-wide scale. Protein-protein interactions are one example of such growing data. These data are often organised as networks with proteins as nodes and interactions as edges. Albeit still incomplete, there is now a substantial amount of data available and there is a need for biologically meaningful methods to analyse ...

Expand abstract

Authors: Chegancas Rito, T

• Publication date: 2012
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: k-words statistics; Subgraph count statistics; Network analyses; ego-networks; Threshold behaviour in networks; Protein interaction networks; Protein age and degree; Alignment-free network comparison
• Subjects: Statistics; Bioinformatics (life sciences); Biology and other natural sciences (mathematics); Systems Biology; Bioinformatics (biochemistry); Computational biochemistry; Biochemistry; Biology