PMC:5137214 / 22820-23283 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/5137214","sourcedb":"PMC","sourceid":"5137214","source_url":"https://www.ncbi.nlm.nih.gov/pmc/5137214","text":"Proteomics data mining and functional annotations. Common computation approaches to extract information from massive proteomics datasets include (1) unsupervised cluster analysis, class discovery and visualization; (2) motif analysis and annotation term enrichment; (3) statistical learning methods for disease signature extraction; (4) network analysis; and (5) annotations with other functional information including protein motifs and cardiac disease relevance","tracks":[]}