The method is applied to the problem of predicting yeast protein functional classifications using a support vector machine (SVM) trained on five types of data.
and we have demonstrated an application of this method to the problem of predicting the function of yeast proteins. The resulting SDP/SVM algorithm yields ...
predict yeast protein function.4 They found that the use of different sources of information indeed improved prediction accuracy when compared to using only ...
The method is applied to the problem of predicting yeast protein functional classifications using a support vector machine (SVM) trained on five types of data.
The method is applied to the problem of predicting yeast protein functional classiflcations using a support vector machine SVM trained on flve types of data.
KERNEL-BASED DATA FUSION AND ITS APPLICATION TO. PROTEIN FUNCTION PREDICTION IN YEAST: SUPPLEMENTARY DATA. GERT R. G. LANCKRIET. Division of Electrical ...
Lanckriet GR, Deng M, Cristianini N, Jordan MI, Noble WS. Kernel-based data fusion and its application to protein function prediction in yeast.
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What is the function of the yeast protein?
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This paper presents a method that uses transductive multi-label learning algorithm by integrating multiple data sources for classification. Multiple proteomics ...
Kernel-based data fusion and its application to protein function prediction in yeast. PSB 2004, pages 300–311. 7. Schölkopf, B., and Smola, A. J. 2002 ...
This paper presents a method that uses transductive multi-label learning algorithm by integrating multiple data sources for classification. Multiple proteomics ...