License

This work is in part based on sbmtm and it is released under the terms of the GNU General Public License available along with this program or at <https://www.gnu.org/licenses/>

Stochatic Block Model Topic Model (hSBM) was introduced by:

Gerlach, M et al. (2018). A network approach to topic models, Science Advances. https://doi.org/10.1126/sciadv.aaq1360

Cite this work

If you use, modify or extend this work please cite:

Valle, F. (2021). nsbm (Version 1.0.0), Zenodo. https://doi.org/10.5281/zenodo.5045445

@software{valle_nsbm_2021,
    author = {Valle, Filippo},
    doi = {10.5281/zenodo.5045445},
    month = {6},
    title = {{nsbm}},
    url = {https://github.com/fvalle1/nsbm},
    version = {1.0.0},
    year = {2021}
}

and the related works using transcriptomics data:

Valle, F. et al. (2022). Multiomics Topic Modeling for Breast Cancer Classification, Cancers. https://doi.org/10.3390/cancers14051150

Valle, F. et al. (2020). A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data, Cancers. https://doi.org/10.3390/cancers12123799

@article{valle_multiomics_2022,
    title = {Multiomics {Topic} {Modeling} for {Breast} {Cancer} {Classification}},
    volume = {14},
    issn = {2072-6694},
    url = {https://www.mdpi.com/2072-6694/14/5/1150},
    doi = {10.3390/cancers14051150},
    number = {5},
    journal = {Cancers},
    author = {Valle, Filippo and Osella, Matteo and Caselle, Michele},
    month = feb,
    year = {2022},
    pages = {1150},
}

@article{valle_topic_2020,
    title = {A {Topic} {Modeling} {Analysis} of {TCGA} {Breast} and {Lung} {Cancer} {Transcriptomic} {Data}},
    volume = {12},
    url = {https://www.mdpi.com/2072-6694/12/12/3799},
    doi = {10.3390/cancers12123799},
    language = {en},
    number = {12},
    urldate = {2021-05-20},
    journal = {Cancers},
    author = {Valle, Filippo and Osella, Matteo and Caselle, Michele},
    month = dec,
    year = {2020},
    pages = {3799},
}