Cite
Pai S, Weber P, Isserlin R, et al. netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks. F1000Res. 2020;9:1239doi: 10.12688/f1000research.26429.1.
Pai, S., Weber, P., Isserlin, R., Kaka, H., Hui, S., Shah, M. A., Giudice, L., Giugno, R., Nøhr, A. K., Baumbach, J., & Bader, G. D. (2020). netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks. F1000Research, 91239. https://doi.org/10.12688/f1000research.26429.1
Pai, Shraddha, et al. "netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks." F1000Research vol. 9 (2020): 1239. doi: https://doi.org/10.12688/f1000research.26429.1
Pai S, Weber P, Isserlin R, Kaka H, Hui S, Shah MA, Giudice L, Giugno R, Nøhr AK, Baumbach J, Bader GD. netDx: Software for building interpretable patient classifiers by multi-'omic data integration using patient similarity networks. F1000Res. 2020 Oct 15;9:1239. doi: 10.12688/f1000research.26429.1. eCollection 2020. PMID: 33628435; PMCID: PMC7883323.
Copy
Download .nbib