期刊
EXPERT REVIEW OF PROTEOMICS
卷 4, 期 4, 页码 453-463出版社
TAYLOR & FRANCIS LTD
DOI: 10.1586/14789450.4.4.453
关键词
artificial neural network; ensemble classifier; fission; fuzzy logic; OET-KNN; PseAA; pseudo amino acid composition; support vector machine; web server
Facing the explosion of newly generated protein sequences in the postgenomic age, we are challenged to develop computational methods for the fast and accurate identification of their subcellular localization and other attributes. This review summarizes recent methodology developments, with a focus on artificial neural networks, the statistical learning and support vector machine, the fuzzy logic-based algorithm and the evidence-theorybased algorithm, as well as the ensemble classifier approach. Meanwhile, an outline of the use of different descriptors for protein samples is given. In addition, a series of web servers established recently based on various ensemble classifiers are also briefly introduced.
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