PMC:4331678 / 13761-14265 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4331678","sourcedb":"PMC","sourceid":"4331678","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4331678","text":"Let W=∑m=1MαmWm be the association matrix of the composite network, where αm ≥ 0 is the weight assigned to the m-th network, representing its relevance towards the prediction task. Many network-based algorithms [13] extend the guilt-by-association rule [31], or exploit the cluster structure of protein complex [4] to predict protein functions using the PPI networks. Inspired by these work, we use a linear neighborhood propagation algorithm [32] on the composite network W to predict protein functions:","tracks":[{"project":"2_test","denotations":[{"id":"25707434-11101803-14839072","span":{"begin":254,"end":256},"obj":"11101803"},{"id":"25707434-19574621-14839073","span":{"begin":444,"end":446},"obj":"19574621"}],"attributes":[{"subj":"25707434-11101803-14839072","pred":"source","obj":"2_test"},{"subj":"25707434-19574621-14839073","pred":"source","obj":"2_test"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"2_test","color":"#bfec93","default":true}]}]}}