Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data

Saeed Sarbazi-Azad, Mohammad Saniee Abadeh, Mohammad Erfan Mowlaei

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DOI: 10.1016/j.socl.2020.100007
Published: 2021-12
Container: Soft Computing Letters
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.socl.2020.100007,
  title = {Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data},
  author = {Saeed Sarbazi-Azad and Mohammad Saniee Abadeh and Mohammad Erfan Mowlaei},
  year = {2021},
  journal = {Soft Computing Letters},
  doi = {10.1016/j.socl.2020.100007},
  url = {https://doi.org/10.1016/j.socl.2020.100007}
}

RIS

TY  - JOUR
TI  - Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data
AU  - Saeed Sarbazi-Azad
AU  - Mohammad Saniee Abadeh
AU  - Mohammad Erfan Mowlaei
PY  - 2021
JO  - Soft Computing Letters
DO  - 10.1016/j.socl.2020.100007
UR  - https://doi.org/10.1016/j.socl.2020.100007
ER  -

APA

Sarbazi-Azad, S., Abadeh, M. S., & Mowlaei, M. E. (2021). Using data complexity measures and an evolutionary cultural algorithm for gene selection in microarray data. Soft Computing Letters. https://doi.org/10.1016/j.socl.2020.100007

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crossref · retrieved 2026-09-25T11:08:46.774Z