You're currently viewing an old version of this dataset. To see the current version, click here.

DNABERT-S: LEARNING SPECIES-AWARE DNA EMBEDDING WITH GENOME FOUNDATION MODELS

DNABERT-S is a genome foundation model designed to generate effective, species-aware DNA embeddings. The model uses a combination of Manifold Instance Mixup and Curriculum Contrastive Learning to learn species-aware embeddings.

Data and Resources

This dataset has no data

Cite this as

Zhihan Zhou, Weimin Wu, Harrison Ho, Jiayi Wang, Lizhen Shi, Ramana V Davuluri, Zhong Wang, Han Liu (2024). Dataset: DNABERT-S: LEARNING SPECIES-AWARE DNA EMBEDDING WITH GENOME FOUNDATION MODELS. https://doi.org/10.57702/euv7e7ls

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2402.08777
Author	Zhihan Zhou
More Authors	Weimin Wu Harrison Ho Jiayi Wang Lizhen Shi Ramana V Davuluri Zhong Wang Han Liu
Homepage	https://github.com/Zhihan1996/DNABERT_S