Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.

Dos Santos SJ, Murariu AC, Silverman JD, Gloor GB

DOI: 10.1371/journal.pcbi.1014728
Published: 2026 Sep
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014728,
  title = {Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.},
  author = {Dos Santos SJ and Murariu AC and Silverman JD and Gloor GB},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014728},
  url = {https://doi.org/10.1371/journal.pcbi.1014728}
}

RIS

TY  - JOUR
TI  - Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.
AU  - Dos Santos SJ
AU  - Murariu AC
AU  - Silverman JD
AU  - Gloor GB
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014728
UR  - https://doi.org/10.1371/journal.pcbi.1014728
ER  -

APA

SJ, D. S., AC, M., JD, S., & GB, G. (2026). Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014728

Source records

pubmed · retrieved 2026-09-25T14:33:50.235Z