Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.

Crabtree NM, Moore JH, Bowyer JF, George NI

DOI: 10.1186/s13040-017-0134-8
Published: 2017
Container: BioData mining
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13040-017-0134-8,
  title = {Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.},
  author = {Crabtree NM and Moore JH and Bowyer JF and George NI},
  year = {2017},
  journal = {BioData mining},
  doi = {10.1186/s13040-017-0134-8},
  url = {https://doi.org/10.1186/s13040-017-0134-8}
}

RIS

TY  - JOUR
TI  - Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.
AU  - Crabtree NM
AU  - Moore JH
AU  - Bowyer JF
AU  - George NI
PY  - 2017
JO  - BioData mining
DO  - 10.1186/s13040-017-0134-8
UR  - https://doi.org/10.1186/s13040-017-0134-8
ER  -

APA

NM, C., JH, M., JF, B., & NI, G. (2017). Multi-class computational evolution: development, benchmark evaluation and application to RNA-Seq biomarker discovery.. BioData mining. https://doi.org/10.1186/s13040-017-0134-8

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pubmed · retrieved 2026-09-25T18:52:32.486Z