Table 1 Genome-wide tools for estimating impact of noncoding variation
From: Realizing the significance of noncoding functionality in clinical genomics
Tool | Year | Method used to build model |
|---|---|---|
CADD41 | 2014 | Support vector machine |
GWAVA42 | 2014 | Random forest algorithm |
DeepSEA73 | 2015 | Deep learning |
FATHMM-MKL74 | 2015 | Multiple Kernel learning + SVM |
Eigen43 | 2016 | Unsupervised partitioning |
Basset75 | 2016 | Deep convolutional neural network |
LINSIGHT76 | 2017 | Generalized linear model (INSIGHT and fitCons) |
Orion44 | 2017 | Observed/expected variation |
