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transcriptomics-data

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This project focuses on predicting maternal-fetal health outcomes, specifically early detection of preeclampsia, by learning transferable representations from cfRNA and placental transcriptomic data.

  • Updated May 20, 2026
  • Python

R scripts for preprocessing, pathway scoring, Bayesian modeling, and Cox proportional hazards analyses applied to the SCAPeSCLC dataset, integrating GeoMx Cancer Transcriptome Atlas expression and survival outcomes in ES-SCLC patients treated with chemo-immunotherapy.

  • Updated Aug 2, 2026
  • R

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