MotifBooster is a software of modeling TF–DNA binding. Different from the widely used weight matrix model, which predicts TF–DNA binding based on a linear combination of position-specific contributions, our approach builds a TF binding classifier by combining a set of weight matrix based classifiers, thus yielding a non-linear binding decision rule.
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Hong, P., X. S., Zhou, Q., Lu, X., Liu, J. S., Wong, W. H.
“A Boosting Approach for Motif Modeling Using ChIP-chip Data“.