Please cite the following papers when using this package:
Cremona M, Chiaromonte F (2023).“Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data.”Journal of Computational and Graphical Statistics,32(3), 1119-1130.doi:10.1080/10618600.2022.2156522,https://doi.org/10.1080/10618600.2022.2156522.
Di Iorio J, Cremona M, Chiaromonte F (2023).“funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores.”2306.04254,https://arxiv.org/abs/2306.04254.
Thank you for citing our work!
Corresponding BibTeX entries:
@Article{, title = {Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data}, author = {Marzia A. Cremona and Francesca Chiaromonte}, journal = {Journal of Computational and Graphical Statistics}, volume = {32}, number = {3}, pages = {1119-1130}, year = {2023}, publisher = {Taylor & Francis}, doi = {10.1080/10618600.2022.2156522}, url = {https://doi.org/10.1080/10618600.2022.2156522}, } @Misc{, title = {funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores}, author = {Jacopo {Di Iorio} and Marzia A. Cremona and Francesca Chiaromonte}, year = {2023}, eprint = {2306.04254}, archiveprefix = {arXiv}, primaryclass = {stat.ME}, url = {https://arxiv.org/abs/2306.04254}, }