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},
}