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Ying Ju
Researcher at Xiamen University
Publications - 17
Citations - 875
Ying Ju is an academic researcher from Xiamen University. The author has contributed to research in topics: Computer science & Gene. The author has an hindex of 12, co-authored 13 publications receiving 711 citations.
Papers
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Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods.
TL;DR: Two methods to predict microRNA-disease association by integrating the social network analysis method with machine learning and based on networks derived from known microRNAs, diseases, and micro RNA-microRNA associations are introduced.
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Finding the Best Classification Threshold in Imbalanced Classification
TL;DR: The drawbacks of using ROC as the sole measure of imbalance in data classification problems are analyzed and a novel framework for finding the best classification threshold is proposed.
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Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
TL;DR: Wang et al. as mentioned in this paper proposed an automatic approach for identifying TATA-binding proteins efficiently, accurately, and conveniently, which can guide for the special protein identification with computational intelligence strategies.
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Protein Folds Prediction with Hierarchical Structured SVM
Dapeng Li,Ying Ju,Quan Zou +2 more
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Improving tRNAscan-SE Annotation Results via Ensemble Classifiers.
TL;DR: TRNA-Predict as mentioned in this paper is a machine learning method to improve the tRNAscan-SE results, which is a tRNA detection program that is widely used for tRNA annotation; however, the false positive rate of tRNcan-SE is unacceptable for large sequences.