On tower and checkerboard neural network architectures for gene expression inference.
Journal:
BMC genomics
Published Date:
Dec 16, 2020
Abstract
BACKGROUND: One possible approach how to economically facilitate gene expression profiling is to use the L1000 platform which measures the expression of ∼1,000 landmark genes and uses a computational method to infer the expression of another ∼10,000 genes. One such method for the gene expression inference is a D-GEX which employs neural networks.