Predictions at the A) invected and B) vestigial loci.

Visualized using the Gnocis genomic track plotting, which uses Matplotlib [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0274338#pone.0274338.ref026" target="_blank">26</a>]. Opaque predictions are predicted in the majority of cross-va...

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Bibliographic Details
Main Author:	Bjørn André Bredesen-Aa (13767126) (author)
Other Authors:	Marc Rehmsmeier (19499) (author)
Published:	2022
Subjects:	Biophysics Genetics Molecular Biology Biotechnology Virology Biological Sciences not elsewhere classified Information Systems not elsewhere classified trithorax response elements spectrum mismatch kernel providing extensible apis general dna bioinformatics div >< p convolutional neural network combining feature sets cnn ), making base feature sets >- regulatory elements pypi package manager existing package facilitates also present deep machine learning methods art machine learning pres ), silencers cres ), among although python packages gnocis additionally implements machine learning python package present gnocis gnocis implements compiled package wide prediction source code readily adapted python 3 model pres melanogaster </ integrated system installed using implemented gnocis gnocis </ glue required gene expression first study curve data cre sequences computational prediction cis </ candidate cres broad suite achieves moderate achieved using
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Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci.

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