Enhanced prediction of recombination hotspots using input features extracted by class specific autoencoders

•Enhanced classification of hotpot regions.•Autoencoder based deep feature extraction.•Combination of class specific autoencoders. In yeast and in some mammals the frequencies of recombination are high in some genomic locations which are known as recombination hotspots and in the locations where the...

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Vydáno v:	Journal of theoretical biology Ročník 444; s. 73 - 82
Hlavní autoři:	Nath, Abhigyan, Karthikeyan, S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 07.05.2018
Témata:	Algorithms Autoencoders Base Sequence Classification Deep features Deep Learning Neural Networks (Computer) Recombination hotspots Recombination, Genetic - genetics Saccharomyces cerevisiae - genetics Deep learning Recombination hotspots Deep features Autoencoders
ISSN:	0022-5193, 1095-8541, 1095-8541
On-line přístup:	Získat plný text
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