A current challenge is to develop computational approaches to infer gene network regulatory relationships based on multiple types of large-scale functional genomic data. We find that single-layer feed-forward artificial neural network (ANN) models can effectively discover gene network structure by integrating global in vivo protein:DNA interaction data (ChIP/Array) with genome-wide mi... https://www.allfixelectricales.shop/product-category/apple-compatible-usb-charging-lead/
Connectivity in the yeast cell cycle transcription network: inferences from neural networks.
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