Tushar Garg

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Protein interaction networks are one of the most promising types of biological data for the discovery of functional modules and the prediction of individual protein functions. However, it is known that these networks are both incomplete and inaccurate, i.e., they have spurious edges and lackbiologically valid edges. One way to handle this problem is by(More)
The prediction of protein function is a key task in bioin-formatics and a variety of techniques and data sets have been employed for that purpose. Using the popular keyword recovery measure, which is based on standard keyword annotations of the SwissProt database, this paper presents a comparative study of the information provided for protein function(More)
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