Prediction of normalized signal strength on DNA sequencing microarrays by n-grams within a neural network model

We have shown previously that a feed-forward, back propagation neural network model based on composite n-grams can predict normalized signal strengths of a microarray based DNA sequencing experiment. The microarray comprises a 4xN set of 25-base single-stranded DNA molecule ('oligos'), spe...

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Detalles Bibliográficos
Autores principales: Chilaka, Charles, Carr, Steven, Shalaby, Nabil, Banzhaf, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614125/
https://www.ncbi.nlm.nih.gov/pubmed/31312075
http://dx.doi.org/10.6026/97320630015388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614125/
https://www.ncbi.nlm.nih.gov/pubmed/31312075
http://dx.doi.org/10.6026/97320630015388

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