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Using data compression for multidimensional distribution analysis [molecular biology]

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4 Author(s)
K. Onizuka ; Adv. Technol. Res. Labs., Matsushita Electr. Ind. Co. Ltd., Kyoto, Japan ; T. Noguchi ; Y. Akiyama ; H. Matsuda

A new method for multi-dimensional distribution analysis using a data compression technique applied to the knowledge-based mean-force potentials between residues for the analysis of protein sequence-structure compatibility performs much better than that of conventional 1D distance-based potentials derived from binned distributions.

Published in:

IEEE Intelligent Systems  (Volume:17 ,  Issue: 3 )