Improving gene function predictions using independent transcriptional components
Our understanding of the function of many transcripts is still incomplete, limiting the interpretability of transcriptomic data. Here the authors use consensus-independent component analysis, together with a guilt-by-association approach, to improve the prediction of gene function.
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-03-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-21671-w |