NeuralTE: an accurate approach for Transposable Element superfamily classification with multi-feature fusion
Kang Hu, Minghua Xu, Xin Gao, Jianxin Wang
NeuralTE is a deep learning method for classifying transposable elements at the superfamily level, achieving high accuracy and robustness across diverse datasets.
ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · Nov 22, 2024Peer-reviewedBioinformatics