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Meijing Li 3 Articles
Original Article
Application of Gap-Constraints Given Sequential Frequent Pattern Mining for Protein Function Prediction
Hyeon Ah Park, Taewook Kim, Meijing Li, Ho Sun Shon, Jeong Seok Park, Keun Ho Ryu
Osong Public Health Res Perspect. 2015;6(2):112-120.   Published online April 30, 2015
Objectives Predicting protein function from the protein–protein interaction network is challenging due to its complexity and huge scale of protein interaction process along with inconsistent pattern. Previously proposed methods such as neighbor counting, network analysis, and graph pattern mining has predicted functions by calculating the rules and probability of patterns inside network. Although these methods have shown good prediction, difficulty still...
A New Direction of Cancer Classification: Positive Effect of Low-Ranking MicroRNAs
Feifei Li, Minghao Piao, Yongjun Piao, Meijing Li, Keun Ho Ryu
Osong Public Health Res Perspect. 2014;5(5):279-285.   Published online October 31, 2014
Objectives Many studies based on microRNA (miRNA) expression profiles showed a new aspect of cancer classification. Because one characteristic of miRNA expression data is the high dimensionality, feature selection methods have been used to facilitate dimensionality reduction. The feature selection methods have one shortcoming thus far: they just consider the problem of where feature to class is 1:1 or n:1. However,...
A Novel Approach for Predicting Disordered Regions in A Protein Sequence
Meijing Li, Seong Beom Cho, Keun Ho Ryu
Osong Public Health Res Perspect. 2014;5(4):211-218.   Published online August 31, 2014
Objectives A number of published predictors are based on various algorithms and disordered protein sequence properties. Although many predictors have been published, the study of protein disordered region prediction is ongoing because different prediction methods can find different disordered regions in a protein sequence. Methods Therefore we have used a new approach to find the more varying disordered regions for more efficient and...

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