Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection

This is a preview of subscription content, log in to check access.


  1. 1

    Xuan Q, Fang B W, Liu Y, et al. Automatic pearl classification machine based on a multistream convolutional neural network. IEEE Trans Ind Electron, 2018, 65: 6538–6547

  2. 2

    Qu W, Wang D L, Feng S, et al. A novel cross-modal hashing algorithm based on multimodal deep learning. Sci China Inf Sci, 2017, 60: 092104

  3. 3

    Danaee P, Ghaeini R, Hendrix D A. A deep learning approach for cancer detection and relevant gene identification. In: Proceedings of Pacific Symposium on Biocomputing Pacific Symposium on Biocomputing, Hawaii, 2017, 219–229

  4. 4

    Chen J Y, Wu Y Y, Lin X, et al. DOE-AND-SCA: a novel SCA based on DNN with optimal eigenvectors and automatic cluster number determination. IEEE Access, 2018, 6: 20764–20778

  5. 5

    Chira C, Sedano J, Villar J R, et al. Gene clustering for time-series microarray with production outputs. Soft Comput, 2016, 20: 4301–4312

  6. 6

    Singh V, Baranwal N, Sevakula R K, et al. Layerwise feature selection in stacked sparse auto-encoder for tumor type prediction. In: Proceedings of Bioinformatics and Biomedicine, Shenzhen, 2016. 1542–1548

  7. 7

    Liang M X, Li Z Z, Chen T, et al. Integrative data analysis of multi-platform cancer data with a multimodal deep learning approach. IEEE/ACM Trans Comput Biol Bioinf, 2015, 12: 928–937

  8. 8

    Xie R, Quitadamo A, Cheng J L, et al. A predictive model of gene expression using a deep learning framework. In: Proceedings of Bioinformatics and Biomedicine, Shenzhen, 2016, 676–681

  9. 9

    Chen Y F, Li Y, Narayan R, et al. Gene expression inference with deep learning. Bioinformatics, 2016, 32: 1832–1839

Download references


This work was partially supported by Zhejiang Natural Science Foundation (Grant No. LY19F020025), National Natural Science Foundation of China (Grant Nos. 61502423, 61572439), Zhejiang University Open Fund (Grant No. 2018KFJJ07), Zhejiang Science and Technology Plan Project (Grant Nos. LGF18F030009, 2017C33149), and Zhejiang Outstanding Youth Fund (Grant No. LR19F030001).

Author information

Correspondence to Qi Xuan.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chen, J., Zheng, H., Xiong, H. et al. DGEPN-GCEN2V: a new framework for mining GGI and its application in biomarker detection. Sci. China Inf. Sci. 62, 199104 (2019).

Download citation