BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model

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Journal
Bioinformatics
Published
2024-08-01
DOI
https://doi.org/10.1093/bioinformatics/btae461
Citations
1
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.23

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article

BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model

Pingjian Ding, Hanyu Luo, Min Zeng, Lingyun Luo et al.
1 citations
Bioinformatics
RNA and protein synthesis mechanisms
0.23
article

BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model

Pingjian Ding, Hanyu Luo, Min Zeng, Lingyun Luo, Rui Yin, Min Li, Li Tang
article en
1 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(8)
Central South University (CN), University of Florida Health (US), Case Western Reserve University (US), University of South China (CN)
National Natural Science Foundation of China, Central South University
Quality Education
Openalex Percentile: Top 43%
RNA and protein synthesis mechanisms
0.23
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BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model — Pingjian Ding, Hanyu Luo, et al. · Bioinformatics (2024) | TGRS Research Map | TGRS