Correction: Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth.
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation.
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type.
Metabolites, Nutrients, and Lifestyle Factors in Relation to Coffee Consumption: An Environment-Wide Association Study.
A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism.
Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services.
