NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies.

Altieri F, Hansen TV, Vandin F

DOI: 10.3389/fgene.2019.00265
Published: 2019
Container: Frontiers in genetics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fgene.2019.00265,
  title = {NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies.},
  author = {Altieri F and Hansen TV and Vandin F},
  year = {2019},
  journal = {Frontiers in genetics},
  doi = {10.3389/fgene.2019.00265},
  url = {https://doi.org/10.3389/fgene.2019.00265}
}

RIS

TY  - JOUR
TI  - NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies.
AU  - Altieri F
AU  - Hansen TV
AU  - Vandin F
PY  - 2019
JO  - Frontiers in genetics
DO  - 10.3389/fgene.2019.00265
UR  - https://doi.org/10.3389/fgene.2019.00265
ER  -

APA

F, A., TV, H., & F, V. (2019). NoMAS: A Computational Approach to Find Mutated Subnetworks Associated With Survival in Genome-Wide Cancer Studies.. Frontiers in genetics. https://doi.org/10.3389/fgene.2019.00265

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pubmed · retrieved 2026-09-25T13:41:08.152Z