Accuratein silicoprediction of species-specific methylation sites based on information gain feature optimization
نویسندگان
چکیده
منابع مشابه
Feature Selection based on Information Gain
The attribute reduction is one of the key processes for knowledge acquisition. Some data set is multidimensional and larger in size. If that data set is used for classification it may end with wrong results and it may also occupy more resources especially in terms of time. Most of the features present are redundant and inconsistent and affect the classification. In order to improve the efficien...
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Protein methylation plays vital roles in many biological processes and has been implicated in various human diseases. To fully understand the mechanisms underlying methylation for use in drug design and work in methylation-related diseases, an initial but crucial step is to identify methylation sites. The use of high-throughput bioinformatics methods has become imperative to predict methylation...
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Feature selection is a pre-processing technique used for eliminating the irrelevant and redundant features which results in enhancing the performance of the classifiers. When a dataset contains more irrelevant and redundant features, it fails to increase the accuracy and also reduces the performance of the classifiers. To avoid them, this paper presents a new hybrid feature selection method usi...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2016
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btw377