The authors used massively parallel splicing assays and statistical learning to decode and predict the erroneous splicing choices made by disease-relevant mutant sequences, which annotates intronic variants potentially for clinical usage.
- Hung-Lun Chiang
- Yi-Ting Chen
- Chien-Ling Lin
