Sparse Machine Learning Pipeline with Stabl Identifies Cord Blood Multi-Omic Signatures of Bronchopulmonary Dysplasia
Karen K.L. Mestan, Janu Newar, Jiaqi Zhao, Abhik Chakraborty, Jonathan D. Reiss, William E. Funk, Ina Annelies Stelzer, Benjamin Waked, Gregory Bellan, Xavier Durand, Julien Jacques Hedou
The paper uses a sparse machine learning pipeline to identify multi-omic biomarkers predictive of bronchopulmonary dysplasia in cord blood samples.
bioRxiv · Sep 18, 2026 · PreprintBioinformatics