Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
Adi Laurentiu Tarca, Bálint Pataki, Roberto J. Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum, Nardhy Gomez‐Lopez, Bogdan Done, Gaurav Bhatti, Thomas Von Yu, Gaia Andreoletti, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Chaur‐Dong Hsu, Nima Aghaeepour, , James C. Costello
The paper develops predictive models for preterm birth using maternal blood multi-omics data, finding transcriptomic and proteomic markers can predict gestational age and spontaneous preterm birth with high accuracy.
Cell Reports Medicine · Jun 1, 2021Peer-reviewedBioinformatics