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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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| Pubblicato in: | Bioinformation |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Biomedical Informatics
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6614125/ https://ncbi.nlm.nih.gov/pubmed/31312075 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.6026/97320630015388 |
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