Enhancing soluble dietary fiber prediction in barley <i>via</i> Boruta-based feature selection and mid-infrared spectroscopy

Qing-xiao Ma, Hao Liu, Long-yan Zhang, Guo-ao Xie, Jie Ren, Fei-ming Li

Open source

DOI: 10.1039/d6ay01435f
Published: 2026
Container: Analytical Methods
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d6ay01435f,
  title = {Enhancing soluble dietary fiber prediction in barley
                    <i>via</i>
                    Boruta-based feature selection and mid-infrared spectroscopy},
  author = {Qing-xiao Ma and Hao Liu and Long-yan Zhang and Guo-ao Xie and Jie Ren and Fei-ming Li},
  year = {2026},
  journal = {Analytical Methods},
  doi = {10.1039/d6ay01435f},
  url = {https://doi.org/10.1039/d6ay01435f}
}

RIS

TY  - JOUR
TI  - Enhancing soluble dietary fiber prediction in barley
                    <i>via</i>
                    Boruta-based feature selection and mid-infrared spectroscopy
AU  - Qing-xiao Ma
AU  - Hao Liu
AU  - Long-yan Zhang
AU  - Guo-ao Xie
AU  - Jie Ren
AU  - Fei-ming Li
PY  - 2026
JO  - Analytical Methods
DO  - 10.1039/d6ay01435f
UR  - https://doi.org/10.1039/d6ay01435f
ER  -

APA

Ma, Q., Liu, H., Zhang, L., Xie, G., Ren, J., & Li, F. (2026). Enhancing soluble dietary fiber prediction in barley <i>via</i> Boruta-based feature selection and mid-infrared spectroscopy. Analytical Methods. https://doi.org/10.1039/d6ay01435f

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crossref · retrieved 2026-09-25T15:34:45.858Z