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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture
It is critical, but difficult, to catch the small variation in genomic or other kinds of data that differentiates phenotypes or categories. A plethora of data is available, but the information from its genes or elements is spread over arbitrarily, making it challenging to extract relevant details fo...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6684600/ https://ncbi.nlm.nih.gov/pubmed/31388036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-47765-6 |
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