1.SLIM[1]
2.CorSig[2]
3.jNMFMA[3]
4.ScrosstalkPat[4]
5.jGRP[5]
6.aGRP[6]
7.ldaPDEP (code+data)[?]
8.grnDRP[?]

[1] Wang, H.-Q. et al, SLIM: a sliding linear model for estimating the proportion of true null hypotheses in datasets with dependence structures. Bioinformatics, 2011. 27(2): p. 225-231.
[2] Wang, H.-Q. and C.-J. Tsai, CorSig: A General Framework for Estimating Statistical Significance of Correlation and Its Application to Gene Co-Expression Analysis. PLoS ONE, 2013. 8(10): p. e77429.
[3] Hong-Qiang Wang*, C.H. Zheng, et al. jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data, Bioinformatics, 31(4)572-580, Oct.16 2014.
[4] Xin-Ping Xie, Wulin Yang, Hong-Qiang Wang*, ctPath: Demixing Pathway Crosstalk Effect from transcriptomics data for Differential Pathway Identification, Journal of Biomedical informatics, 73:104-114, 2017
[5] Xin-Ping Xie, Yu-Feng Xie, Hong-Qiang Wang*, A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification, BMC Bioinformatics,18(1):375, 2017
[6] Xin-Ping Xie, Yu-Feng Xie, Yi-Tong Liu and Hong-Qiang Wang, adaptively capturing the heterogeneity of expression for cancer biomarker identification, BMC Bioinformatics,19(1):401, 2018.