学术论文
- 鱼亮，赵晋. 基于组织特异性和直接邻居相似度方法预测疾病-药物关系. 中国科学: 信息科学; doi: 10.1360/N112018-00324
- Liang Yu, Shunyu Yao, Lin Gao, Yunhong Zha. Conserved disease modules extracted from multil[ant]ayer heterogeneous disease and gene networks for understanding disease mechanisms and predicting disease treatments. Frontiers in Genetics. 2019, 9:745. doi: 10.3389/fgene.2018.00745. IF=4.151
- Liang Yu, Lin Gao. Human pathway-based disease network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, Accepted. DOI : 10.1109/TCBB.2017.2774802
- Liang Yu, Jin Zhao, Lin Gao. Predicting Potential Drugs for Breast Cancer based on miRNA and Tissue Specificity. International Journal of Biological Sciences, 2018; 14(8): 971–982. 【SCI IF=4.057 JCR=1】引用3次 WOS:000433262600019
- Liang Yu, Xiaoke Ma, Long Zhang, Jing Zhang, Lin Gao. Prediction of new drug indications based on clinical data and network modularity. Scientific Reports, 2016; 6:32530. 【SCI IF=5.228 JCR=1】WOS: 000384148700001 引用6次
- Liang Yu, Ruidan Su, Bingbo Wang, Long Zhang, Yapeng Zou, Jing Zhang, Lin Gao. Prediction of novel drugs for hepatocellular carcinoma based on multi-source random walk. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(4):966-977. DOI: 10.1109/TCBB.2016.2550453. 【SCI IF=1.44 JCR=2】PubMed ID:27076463 WOS:000407464700018 引用4次
- Liang Yu, Bingbo Wang, Xiake Ma, Lin Gao. The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC System Biology. 2016, 10(Suppl 4):111.【SCI IF=2.213 JCR=1】WOS:000392598000001 引用6次
- Liang Yu, Jianbin Huang, Zhixin Ma, Yapeng Zou, Jing Zhang, Lin Gao. Inferring drug-disease associations based on known protein complexes. BMC medical genomics, 2015, 8: S2. 【SCI IF=3.91 JCR=2】 WOS:000382997400003 引用21次
- Liang Yu, Jin Zhao, Lin Gao. Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome. Artificial Intelligence In Medicine, 2017,77, 53–63. http://dx.doi.org/doi:10.1016/j.artmed.2017.03.009 【SCI IF=2.142 JCR=2】 WOS:000402943500006 PubMed ID: 28545612 引用4次
- Liang Yu, Lin Gao, and Chuiliang Kong. Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks. Proteomics, 2011, 11(19):3826-3834. 【SCI IF=4.814 JCR=1】 (cite:10) WOS:000296142100009
- Liang Yu, Lin Gao, and Penggang Sun. A hybrid clustering algorithm for identifying modules in Protein Protein Interaction networks. International Journal of Data Mining and Bioinformatics, 2010, 5(4):600-615.【SCI IF=0.933】(cite:16) WOS:000284336400008
- Liang Yu, Lin Gao, Kui Li. A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification. Computational Biology and Chemistry, 2011, 35(5): 298-307. 【SCI IF=1.412 JCR=3】 (cite:6) WOS:000296930400005
- Liang Yu, Lin Gao, and Kui Li. A method based on local density and random walks for complex detection in protein interaction networks. Journal of Bioinformatics and Computational Biology, 2010, 8(Suppl.1): 47-62.【SCI IF=0.991】(cite:8) WOS: 000208165500005
- 鱼亮, 高琳，孙鹏岗. 蛋白质网络中复合体和功能模块预测算法研究.计算机学报, 2011, 34(7):1239-1251. 【EI】 (cite:3) [EI：20113214216524]
- Liang Yu, Lin Gao. Identification of core-attachment complexes based on mining maximal frequent patterns in protein-protein interaction networks. 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW 2010), pp, 29-34. Dec. 18-21, 2010, Hong Kong. (EI: 20110913708808)
- Liang Yu, Lin Gao. Quantitative Function for Community Structure Detection. International Journal of Data Mining, Modelling and Management, 2010, 4(2):351-368.(cite:5)
- Liang Yu, Lin Gao. An average-degree based method for protein complexes identification. The Fourth International Conference on Bioinformatics and Biomedical Engineering (iCBBE2010) Proceedings, pp. 175-182, June 18-20, Chengdu, China. (EI: 20103613207605)
- Xiaoke Ma, Liang Yu, Peizhuo Wang, Xiaofei Yang, Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes. Computational Biology and Chemistry. 2017, 69:164-170. DOI: 10.1016/j.compbiolchem.2017.03.014 000407403300019
- Xiaoke Ma, Bingbo Wang, Liang Yu. Semi-supervised spectral algorithms for community detection in complex networks based on equivalence of clustering methods. Physica A. 2018, 490: 786-802. 【SCI IF=2.48 JCR=2】000415912900071