A comparative evaluation of deep learning models for the classification of encoded splice-junction sequences.
- DOI
- 10.3389/frai.2026.1886470
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1886470,
title = {A comparative evaluation of deep learning models for the classification of encoded splice-junction sequences.},
author = {Kumar Y and Kaur I and Modi N and Bhardwaj P and Choi J and Ijaz MF},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1886470},
url = {https://doi.org/10.3389/frai.2026.1886470}
}RIS
TY - JOUR TI - A comparative evaluation of deep learning models for the classification of encoded splice-junction sequences. AU - Kumar Y AU - Kaur I AU - Modi N AU - Bhardwaj P AU - Choi J AU - Ijaz MF PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1886470 UR - https://doi.org/10.3389/frai.2026.1886470 ER -
APA
Y, K., I, K., N, M., P, B., J, C., & MF, I. (2026). A comparative evaluation of deep learning models for the classification of encoded splice-junction sequences.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1886470
Source records
- pubmed · retrieved 2026-09-25T16:47:35.919Z