medical-10

Splice Site Prediction

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Zhihan Zhou, Han Liu, Yanrong Ji, Weijian Li, Pratik Dutta, R. Davuluri•Sun Jun 25 2023

This work proposes DNABERT-2, a refined genome foundation model that adapts an efficient tokenizer and employs multiple strategies to overcome input length constraints, reduce time and memory expenditure, and enhance model capability, and introduces Byte Pair Encoding (BPE), a statistics-based data compression algorithm that constructs tokens.

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Sequential Labelling and DNABERT For Splice Site Prediction in Homo Sapiens DNA

A. Purwarianti, M. A. Leksono•Wed Dec 14 2022

This paper proposes sequential labelling to predict splice sites regardless their position in sequence and concludes that model experience overfitting is deemed not suitable for splice site prediction.

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Identifying DNA Sequence Motifs Using Deep Learning

Asmita Poddar, Vladimir Uzun, Elizabeth M. Tunbridge, W. Haerty, Alejo Nevado-Holgado•Sun Nov 19 2023

DeepDeCode, an attention-based deep learning sequence model to capture the long-term dependencies in the nucleotides in DNA sequences is introduced and proposed using visualization techniques for accurate identification of sequence motifs, which enhance the interpretability and trustworthiness of DeepDeCode.

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