Bioinformatics | Computational Biology | Genomics scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. December 16, 2023
Bioinformatics | Pharmacology DeepTPpred: A Deep Learning Approach with Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information. June 27, 2023
Bioinformatics | Pharmacology MSPEDTI: Prediction of Drug-Target Interactions via Molecular Structure with Protein Evolutionary Information. July 16, 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 | Computational Biology A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. March 23, 2022
Bioinformatics | Microbiology RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. October 26, 2021
Bioinformatics | Computational Biology | Pharmacology A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. March 18, 2020
Bioinformatics | Molecular Biology Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model. November 15, 2019
Bioinformatics | Oncology ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation. June 7, 2019
Bioinformatics | Molecular Biology Prediction of protein self-interactions using stacked long short-term memory from protein sequences information. April 8, 2019
Bioinformatics | Proteomics An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation. March 29, 2019