3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection.
- DOI
- 10.3389/fgene.2023.1095330
- Published
- 2023
- Container
- Frontiers in genetics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fgene.2023.1095330,
title = {3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection.},
author = {Mallik S and Sarkar A and Nath S and Maulik U and Das S and Pati SK and Ghosh S and Zhao Z},
year = {2023},
journal = {Frontiers in genetics},
doi = {10.3389/fgene.2023.1095330},
url = {https://doi.org/10.3389/fgene.2023.1095330}
}RIS
TY - JOUR TI - 3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection. AU - Mallik S AU - Sarkar A AU - Nath S AU - Maulik U AU - Das S AU - Pati SK AU - Ghosh S AU - Zhao Z PY - 2023 JO - Frontiers in genetics DO - 10.3389/fgene.2023.1095330 UR - https://doi.org/10.3389/fgene.2023.1095330 ER -
APA
S, M., A, S., S, N., U, M., S, D., SK, P., S, G., & Z, Z. (2023). 3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection.. Frontiers in genetics. https://doi.org/10.3389/fgene.2023.1095330
Source records
- pubmed · retrieved 2026-09-25T20:54:38.458Z