The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways
Yahui Sun, Chenkai Ma, Saman Halgamuge
BMC BIOINFORMATICS | BMC | Published : 2017
BACKGROUND: Cancer constitutes a momentous health burden in our society. Critical information on cancer may be hidden in its signaling pathways. However, even though a large amount of money has been spent on cancer research, some critical information on cancer-related signaling pathways still remains elusive. Hence, new works towards a complete understanding of cancer-related signaling pathways will greatly benefit the prevention, diagnosis, and treatment of cancer. RESULTS: We propose the node-weighted Steiner tree approach to identify important elements of cancer-related signaling pathways at the level of proteins. This new approach has advantages over previous approaches since it is fast ..View full abstract
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Awarded by Australian Research Council
Both YS and CM are supported by the MIRS and MIFRS Scholarships of The University of Melbourne. The publication costs of this paper are funded by Australian Research Council grant DP150103512.