Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/33290
Title: Integrating biological insights with topological characteristics for improved complex prediction from protein interaction networks
Authors: SRIGANESH MANIGANAHALLI SRIHARI
Keywords: Protein Interaction Networks, Complex Prediction, Sparse Complexes, Temporal Complexes
Issue Date: 13-Jan-2012
Source: SRIGANESH MANIGANAHALLI SRIHARI (2012-01-13). Integrating biological insights with topological characteristics for improved complex prediction from protein interaction networks. ScholarBank@NUS Repository.
Abstract: This thesis is about devising and developing computational techniques for protein complex prediction from protein interaction (PPI) networks. We integrate a variety of biological insights - core-attachment structure, functional interactions and temporal information - with topology-based clustering of PPI networks for complex prediction. We substantially improve the available 'state-of-the-art' techniques and also identify a significant number of complexes that are sparse in the PPI network.
URI: http://scholarbank.nus.edu.sg/handle/10635/33290
Appears in Collections:Ph.D Theses (Open)

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