Providing an optimized model to detect driver genes from heterogeneous cancer samples using restriction in subspace learning.

Ebadi AR, Soleimani A, Ghaderzadeh A.

Open source

DOI: 10.1038/s41598-021-88548-2
Published: 2021-04-28
Container: Sci Rep
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-021-88548-2,
  title = {Providing an optimized model to detect driver genes from heterogeneous cancer samples using restriction in subspace learning.},
  author = {Ebadi AR and  Soleimani A and  Ghaderzadeh A.},
  year = {2021},
  journal = {Sci Rep},
  doi = {10.1038/s41598-021-88548-2},
  url = {https://doi.org/10.1038/s41598-021-88548-2}
}

RIS

TY  - JOUR
TI  - Providing an optimized model to detect driver genes from heterogeneous cancer samples using restriction in subspace learning.
AU  - Ebadi AR
AU  -  Soleimani A
AU  -  Ghaderzadeh A.
PY  - 2021
JO  - Sci Rep
DO  - 10.1038/s41598-021-88548-2
UR  - https://doi.org/10.1038/s41598-021-88548-2
ER  -

APA

AR, E., A, S., & A., G. (2021). Providing an optimized model to detect driver genes from heterogeneous cancer samples using restriction in subspace learning.. Sci Rep. https://doi.org/10.1038/s41598-021-88548-2

Source records

europe-pmc · retrieved 2026-09-26T09:00:19.861Z
doaj · retrieved 2026-09-26T09:00:19.851Z