Transcription Factor Prediction

• 基于DNA序列的转录因子结合位点预测. 南京理工大学，硕士学位论文，申龙辰, 2020. [CAJ]

• A Comprehensive Review for Methods in Transcription Factor Binding Site Prediction. Bioxiv, 2024. [PDF]

• MLSNet: A deep learning model for predicting transcription factor binding sites. Briefings in Bioinformatics, 2024. [PDF] [Code]

• BertSNR: An interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model. Bioinformatics, 2024. [PDF] [Code]

• MAResNet: Predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network. Briefings in Bioinformatics, 2022. [PDF] [Code]

• DeepTFactor: A deep learning-based tool for the prediction of transcription factors. The Proceedings of the National Academy of Sciences, 2021. [PDF] [Code]

• SAResNet: self-attention residual network for predicting DNA-protein binding. Briefings in Bioinformatics, 2021. [PDF] [Code]

• Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information. Molecular Therapy-Nucleic Acids, 2020. [PDF] [Code]

• Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning Nature Biotechnology, 2015. [PDF] [Code]