Article

Network depth affects inference of gene sets from bacterial transcriptomes using denoising autoencoders

2023-05-30

Abstract excerpt

The increasing number of publicly available bacterial gene expression data sets provides an unprecedented resource for the study of gene regulation in diverse conditions, but emphasizes the need for self-supervised methods for the automated generation of new hypotheses. One approach for inferring coordinated regulation from bacterial expression data is through the use of neural networks known as denoising autoenco...

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Literature Corpus work: 865de056-f97c-5844-b428-9cf3ad1d9f9b
DOI: 10.1101/2023.05.30.542622

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