Figure 1From: Collective prediction of protein functions from protein-protein interaction networksAn example of ICA algorithm learning with limited labeled data. (a) initial state, train classifier M A and classify VU; (b) Compute relational features X R , train classifier M AR ; (c) re-predict VU (use M AR ); (d) re-compute relational features X R . ICA repeats step c and step d until a fixed iteration number.Back to article page