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We propose a novel Motif-oriented DNA (MoDNA) pre-training framework, which is designed self-supervised and can be fine-tuned for different downstream tasks MoDNA effectively learns the …
In this study, we advance DNA language models by utilizing the Motif-oriented DNA (MoDNA) pre-training framework, which is established for self-supervised learning at the pre-training stage and is …
The MODNA Board of Directors is proposing dissolution by December 31, 2023 and dividing all remaining assets among the local units (OSUNO, OSUTNO, Mary Rutan) that were in the Mid-Ohio …
Aug 7, 2022 · We pre-train MoDNA on human genome data and fine-tune it on downstream tasks. Extensive experimental results on promoter prediction and transcription factor binding sites …
Download scientific diagram | Overview of the MoDNA framework. (a) DNA Sequence Representation: Illustration of DNA sequence k-mers (k = 6), representing the basic units for analysis.
MoDNA achieves state-of-the-art results on promoter and transcription factor binding site predictions. The framework integrates motif patterns into genome language modeling, enhancing representation …
MoDNA: motif-oriented pre-training for DNA language model Obtaining genetics insights from deep learning via explainable artificial intelligence Deciphering microbial gene function using natural …
Aug 7, 2022 · A novel Motif-oriented DNA (MoDNA) pre-training framework is proposed, which is designed self-supervised and can be fine-tuned for different downstream tasks, and is more …
README.md electra_pytorch.py transformersElE.py MoDNA / README.md anweiwei Update README.md
MoDNA constructs two types of prediction tasks in the self-supervised pre-train stage: k-mer tokens prediction and motif prediction. MoDNA can use such functional motifs to optimize the DNA …
Visual Insights
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