Genomics | Machine Learning | Oncology A Framework for Prediction of Oncogenomic Progression Aiding Personalized Treatment of Gastric Cancer. July 14, 2023
Bioinformatics | Genetics | Oncology EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma. May 27, 2023
Bioinformatics | Immunology DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes. May 1, 2023
Bioinformatics | Immunology | Pharmaceutical Sciences IGPred-HDnet: Prediction of Immunoglobulin Proteins Using Graphical Features and the Hierarchal Deep Learning-Based Approach. February 6, 2023
Pathology White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images. November 11, 2022
Genetics | Oncology Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations. November 2, 2022
Genetics | Oncology Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations. October 19, 2022
Biochemistry | Oncology A comprehensive tool for accurate identification of methyl-Glutamine sites. November 12, 2021
Bioinformatics | Computational Biology iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions. August 16, 2021
Bioinformatics | Molecular Biology | Proteomics Optimization of Serine Phosphorylation Prediction in Proteins by Comparing Human Engineered Features and Deep Representations. December 19, 2020
Bioinformatics | Proteomics iPhosS(Deep)-PseAAC: Identify Phosphoserine Sites in Proteins using Deep Learning on General Pseudo Amino Acid Compositions via Modified 5-Steps Rule. November 26, 2020