Bioinformatics | Molecular Biology GMean-a semi-supervised GRU and K-mean model for predicting the TF binding site. January 30, 2024
Bioinformatics | Genomics GSLCDA: An Unsupervised Deep Graph Structure Learning Method for Predicting CircRNA-Disease Association. December 21, 2023
Bioinformatics | Computational Biology iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. August 31, 2023
Bioinformatics | Genetics | Molecular Biology Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information. November 14, 2022
Bioinformatics | Computational Biology | Genomics DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. October 24, 2022
Bioinformatics | Genetics Predicting the sequence specificities of DNA-binding proteins by DNA Fine-tuned Language Model with decaying learning rates. April 7, 2022
Bioinformatics | Molecular Biology Base-resolution prediction of transcription factor binding signals by a deep learning framework. March 9, 2022
Bioinformatics | Microbiology RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. October 26, 2021
Bioinformatics | Machine Learning Graph representation learning in bioinformatics: trends, methods and applications. September 2, 2021
Molecular Biology Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture. March 26, 2021
Cellular Biology | Molecular Biology Locating transcription factor binding sites by fully convolutional neural network. January 26, 2021