A pitfall for machine learning methods aiming to predict across cell types
Abstract Machine learning models that predict genomic activity are most useful when they make accurate predictions across cell types. Here, we show that when the training and test sets contain the same genomic loci, the resulting model may falsely appear to perform well by effectively memorizing the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-11-01
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| Series: | Genome Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13059-020-02177-y |