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Fig. 4 | Clinical Proteomics

Fig. 4

From: Cardiovascular proteomics in the era of big data: experimental and computational advances

Fig. 4

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

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