Noisy data facilitates Dartmouth investigation of breast cancer gene expression

Dartmouth researchers reported in Pacific Symposium on Biocomputing on the use of denoising autoencoders to effectively extract key biological principles from gene expression data and summarize them into constructed features with convenient properties. —> Read More Here


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