This paper presents a novel method for CpG islands location identification based on conditional random fields (CRF) model. The method transforms CpG islands location identification into the problem of sequential data labeling. Based on the nature of CpG islands location, we design the methods of model constructing, training and decoding in CRF accordingly. Experimental results on benchmark data sets show that our algorithm is more practicable and efficient than the traditional methods. © 2012 Springer-Verlag.
CITATION STYLE
Liu, W., Chen, H., & Chen, L. (2012). Identifying CpG islands in genome using conditional random fields. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7389 LNCS, pp. 309–318). https://doi.org/10.1007/978-3-642-31588-6_40
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