Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model.

Zhang Y, Yang L, Cui W, Yang R

DOI: 10.3390/biology15040361
Published: 2026 Feb 20
Container: Biology
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.3390/biology15040361,
  title = {Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model.},
  author = {Zhang Y and Yang L and Cui W and Yang R},
  year = {2026},
  journal = {Biology},
  doi = {10.3390/biology15040361},
  url = {https://doi.org/10.3390/biology15040361}
}

RIS

TY  - JOUR
TI  - Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model.
AU  - Zhang Y
AU  - Yang L
AU  - Cui W
AU  - Yang R
PY  - 2026
JO  - Biology
DO  - 10.3390/biology15040361
UR  - https://doi.org/10.3390/biology15040361
ER  -

APA

Y, Z., L, Y., W, C., & R, Y. (2026). Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model.. Biology. https://doi.org/10.3390/biology15040361

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pubmed · retrieved 2026-11-10T13:15:47.853Z