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Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network
In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophren...
Autores principales: | Chen, Xiangning, Chen, Daniel G., Zhao, Zhongming, Zhan, Justin, Ji, Changrong, Chen, Jingchun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369164/ https://www.ncbi.nlm.nih.gov/pubmed/34430925 http://dx.doi.org/10.1016/j.patter.2021.100303 |
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