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Plos One|July 1, 2015
Identification of Essential Proteins Based on a New Combination of Local Interaction Density and Protein ComplexesJiawei Luo, Yi QiIEEE/ACM Transactions on Computational Biology and Bioinformatics|December 25, 2015
Prediction of Essential Proteins Based on Local Interaction DensityYi Qi, Jiawei LuoComputational Biology and Chemistry|September 3, 2014
A new method for predicting essential proteins based on dynamic network topology and complex informationJiawei Luo, Ling KuangJournal of Biomedical Informatics|January 21, 2017
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous networkJiawei Luo, Qiu XiaoComputational Biology and Chemistry|May 30, 2017
Genome-wide predicting disease-related protein complexes by walking on the heterogeneous network based on data integration and laplacian normalizationZhiming Liu, Jiawei LuoInternational Journal of Data Mining and Bioinformatics|October 30, 2015
A new algorithm for essential proteins identification based on the integration of protein complex co-expression information and edge clustering coefficientJiawei Luo, Juan WuJournal of Biomedical Informatics|December 3, 2014
Prioritization of potential candidate disease genes by topological similarity of protein-protein interaction network and phenotype dataJiawei Luo, Shiyu LiangBMC Bioinformatics|November 3, 2019
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information networkYahui Long, Jiawei LuoIEEE Journal of Biomedical and Health Informatics|August 6, 2020
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding RepresentationYahui Long, Jiawei LuoIEEE/ACM Transactions on Computational Biology and Bioinformatics|November 30, 2018
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological SimilarityJiawei Luo, Yahui LongPageof 106