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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

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Predicting effects of noncoding variants with deep learning–based sequence model

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(2015) Jürgen Schmidhuber   NEURAL NETWORKS

RegulonDB version 9.0: high-level integration of gene regulation, coexpression, motif clustering and beyond

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Structural Properties of Prokaryotic Promoter Regions Correlate with Functional Features

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Genome-wide analysis of rice (Oryza sativa L. subsp. japonica) TATA box and Y Patch promoter elements

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Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach

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