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Building a Knowledge-Base for Protein Function Prediction using Multistrategy Learning
1995
Genome Informatics Series
Conventional techniques for protein function prediction using similarities of amino acid sequences enable us to only classify the protein functions into function groups. They usually fail to predict specific protein functions. To overcome the limitation, in this paper, we propose a method for protein function prediction using functional feature analysis and a multistrategy learning approach to building the knowledge-base. By "functional feature", we mean a feature of an amino acid sequence
doi:10.11234/gi1990.6.39
fatcat:q4lrabmdjbeibggvmruuz3h26u