Article

Tiberius: End-to-End Deep Learning with an HMM for Gene Prediction

2024-07-23

Abstract excerpt

<h4>Motivation</h4> For more than 25 years, learning-based eukaryotic gene predictors were driven by hidden Markov models (HMMs), which were directly inputted a DNA sequence. Recently, Holst et al. demonstrated with their program Helixer that the accuracy of ab initio eukaryotic gene prediction can be improved by combining deep learning layers with a separate HMM postprocessor. <h4>Results</h4> We present Tibe...

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Literature Corpus work: 65792e6a-5f20-5ac2-a79b-ef59b5b4fb9d
DOI: 10.1101/2024.07.21.604459

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