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...

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Detalles Bibliográficos
Autores principales: Chen, Xiangning, Chen, Daniel G., Zhao, Zhongming, Zhan, Justin, Ji, Changrong, Chen, Jingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
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

Internet

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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