1) Qianqian Shi, Chuanchao Zhang, Minrui Peng, et al. Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. Bioinformatics, 2017, 33(17):2706-2714. (SCI, IF=7.307)2) Qianqian Shi, Chuanchao Zhang, Weifeng Guo, et al. Local network component analysis for quantifying transcription factor activities. Methods, 2017. (SCI, IF=3.802)3) Qianqian, Shi*., Xiaoping Liu*, Tao Zeng, et al. Detecting disease genes of non-small lung cancer based on consistently differential interactions. Cancer and Metastasis Reviews, 2015, 34(2), 195-208. (SCI, IF=5.316)4) Chuanchao Zhang, Juan Liu, Qianqian Shi, et al. Identifying functional interpretable network biomarkers by comparative network stratification. BMC bioinformatics, 2017, 18(3), 48. (SCI, IF=2.448)5) Chuanchao Zhang, Juan Liu, Qianqian Shi, et al. Differential function analysis: identifying structure and activation variations in dysregulated pathways. Science China Information Sciences (SCIS), 2017, 60(1), 012108 (SCI, IF=1.628).6) Chuanchao Zhang, Juan Liu, Qianqian Shi, et al. Integration of multiple heterogeneous omics data. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017, 564-569. (EI, Best paper awards)7) Chuanchao Zhang, Juan Liu, Qianqian Shi, et al. Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015, 189-194. (EI)
