Identifying associations of de novo noncoding variants with autism through integration of gene expression, sequence, and sex information
Abstract Background Whole-genome sequencing (WGS) data has facilitated genome-wide identification of rare noncoding variants. However, elucidating these variants’ associations with complex diseases remains challenging. A previous study utilized a deep-learning-based framework and reported a signific...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-025-03619-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|