Machine Learning and Functional Analysis of Placental DNA Methylation Signatures for Early-Onset Preeclampsia.

Sharda R, Kouznetsova VL, Tsigelny IF

DOI: 10.1007/s43032-026-02183-8
Published: 2026 Sep 10
Container: Reproductive sciences (Thousand Oaks, Calif.)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s43032-026-02183-8,
  title = {Machine Learning and Functional Analysis of Placental DNA Methylation Signatures for Early-Onset Preeclampsia.},
  author = {Sharda R and Kouznetsova VL and Tsigelny IF},
  year = {2026},
  journal = {Reproductive sciences (Thousand Oaks, Calif.)},
  doi = {10.1007/s43032-026-02183-8},
  url = {https://doi.org/10.1007/s43032-026-02183-8}
}

RIS

TY  - JOUR
TI  - Machine Learning and Functional Analysis of Placental DNA Methylation Signatures for Early-Onset Preeclampsia.
AU  - Sharda R
AU  - Kouznetsova VL
AU  - Tsigelny IF
PY  - 2026
JO  - Reproductive sciences (Thousand Oaks, Calif.)
DO  - 10.1007/s43032-026-02183-8
UR  - https://doi.org/10.1007/s43032-026-02183-8
ER  -

APA

R, S., VL, K., & IF, T. (2026). Machine Learning and Functional Analysis of Placental DNA Methylation Signatures for Early-Onset Preeclampsia.. Reproductive sciences (Thousand Oaks, Calif.). https://doi.org/10.1007/s43032-026-02183-8

Source records

pubmed · retrieved 2026-09-25T13:44:19.549Z