Article ; Online: Can We Convert Genotype Sequences Into Images for Cases/Controls Classification?
Frontiers in Bioinformatics, Vol
2022 Volume 2
Abstract: Converting genotype sequences into images offers advantages, such as genotype data visualization, classification, and comparison of genotype sequences. This study converted genotype sequences into images, applied two-dimensional convolutional neural ... ...
Abstract | Converting genotype sequences into images offers advantages, such as genotype data visualization, classification, and comparison of genotype sequences. This study converted genotype sequences into images, applied two-dimensional convolutional neural networks for case/control classification, and compared the results with the one-dimensional convolutional neural network. Surprisingly, the average accuracy of multiple runs of 2DCNN was 0.86, and that of 1DCNN was 0.89, yielding a difference of 0.03, which suggests that even the 2DCNN algorithm works on genotype sequences. Moreover, the results generated by the 2DCNN exhibited less variation than those generated by the 1DCNN, thereby offering greater stability. The purpose of this study is to draw the research community’s attention to explore encoding schemes for genotype data and machine learning algorithms that can be used on genotype data by changing the representation of the genotype data for case/control classification. |
---|---|
Keywords | genotype-phenotype prediction ; genetics ; bioinformatics ; applied machine learning ; image classification ; Computer applications to medicine. Medical informatics ; R858-859.7 |
Subject code | 006 |
Language | English |
Publishing date | 2022-06-01T00:00:00Z |
Publisher | Frontiers Media S.A. |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
Full text online
More links
Kategorien
Inter-library loan at ZB MED
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.