Neural Network Integration of Multi-Omics Data Streams
This study examines how artificial neural networks can simultaneously process transcriptomic, proteomic, and metabolomic datasets to predict pathway flux distributions in biofabricated tissues. The research reveals novel regulatory patterns that emerge from integrated multi-scale biological data analysis.