BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model
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.
Citations
1 citations
Journal
Bioinformatics
Topics
RNA and protein synthesis mechanisms
Field-Weighted Citation Impact (FWCI)
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.
Publication Tag
BioinformaticsVol. 40(8)
Institutions
Central South University (CN), University of Florida Health (US), Case Western Reserve University (US), University of South China (CN)
Funders
National Natural Science Foundation of China, Central South University
Ask Laika to Summarize, Analyze, and Connect papers live on the map.
Summarize Papers & Methodologies
Extract key findings, datasets, and comparative methods across publications.
Benchmark Rankings & Visual Analytics
Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.
Connect Distant Disciplines
Bridge topological clusters on the map to find hidden collaborative intersections.
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