A consensus method for prioritising drug-associated target proteins
by Gang Shu; Xiaodi Huang; Shanfeng Zhu
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 6, No. 2, 2012

Abstract: It is generally believed that the degree of a relation between two entities is likely to be stronger if they co-occur more often in the literature. Based on this assumption, several methods are used in biomedical text mining such as support, confidence, chi-square, odds ratio, lift, all-confidence, coherence, and pof. Comparing these eight methods, our work aims to find the best one. Also, we present a consensus approach that can further improve the performance. Experimental results on prioritising drug targets have shown that pof, coherence, and all-confidence in sequence are the top three. By integrating coherence into pof, the consensus method is the best one among all compared methods.

Online publication date: Wed, 17-Dec-2014

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