Exploring candidate biomarkers for nonobstructive azoospermia: A bioinformatics and machine learning approach.

Liang M, Chi Y, Pan H, Wu C, Zeng J, Lv W, Luo X

DOI: 10.1177/00368504261486987
Published: 2026 Jul-Sep
Container: Science progress
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/00368504261486987,
  title = {Exploring candidate biomarkers for nonobstructive azoospermia: A bioinformatics and machine learning approach.},
  author = {Liang M and Chi Y and Pan H and Wu C and Zeng J and Lv W and Luo X},
  year = {2026},
  journal = {Science progress},
  doi = {10.1177/00368504261486987},
  url = {https://doi.org/10.1177/00368504261486987}
}

RIS

TY  - JOUR
TI  - Exploring candidate biomarkers for nonobstructive azoospermia: A bioinformatics and machine learning approach.
AU  - Liang M
AU  - Chi Y
AU  - Pan H
AU  - Wu C
AU  - Zeng J
AU  - Lv W
AU  - Luo X
PY  - 2026
JO  - Science progress
DO  - 10.1177/00368504261486987
UR  - https://doi.org/10.1177/00368504261486987
ER  -

APA

M, L., Y, C., H, P., C, W., J, Z., W, L., & X, L. (2026). Exploring candidate biomarkers for nonobstructive azoospermia: A bioinformatics and machine learning approach.. Science progress. https://doi.org/10.1177/00368504261486987

Source records

pubmed · retrieved 2026-09-26T21:21:10.701Z