A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection.

Mahto R, Ahmed SU, Rahman RU, Aziz RM, Roy P, Mallik S, Li A, Shah MA

DOI: 10.1186/s12859-023-05605-5
Published: 2023 Dec 15
Container: BMC bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-023-05605-5,
  title = {A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection.},
  author = {Mahto R and Ahmed SU and Rahman RU and Aziz RM and Roy P and Mallik S and Li A and Shah MA},
  year = {2023},
  journal = {BMC bioinformatics},
  doi = {10.1186/s12859-023-05605-5},
  url = {https://doi.org/10.1186/s12859-023-05605-5}
}

RIS

TY  - JOUR
TI  - A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection.
AU  - Mahto R
AU  - Ahmed SU
AU  - Rahman RU
AU  - Aziz RM
AU  - Roy P
AU  - Mallik S
AU  - Li A
AU  - Shah MA
PY  - 2023
JO  - BMC bioinformatics
DO  - 10.1186/s12859-023-05605-5
UR  - https://doi.org/10.1186/s12859-023-05605-5
ER  -

APA

R, M., SU, A., RU, R., RM, A., P, R., S, M., A, L., & MA, S. (2023). A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection.. BMC bioinformatics. https://doi.org/10.1186/s12859-023-05605-5

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pubmed · retrieved 2026-09-26T10:18:57.965Z