Bioinformatics | Computational Biology | Genomics Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing. March 20, 2024
Bioinformatics | Oncology Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture. August 2, 2023
Bioinformatics | Oncology Robust and Effective: A Deep Matrix Factorization Framework for Classification. April 6, 2023
Bioinformatics | Machine Learning | Oncology Identifying Cancer Subtypes Using a Residual Graph Convolution Model on a Sample Similarity Network. January 21, 2022
Bioinformatics | Computational Biology | Genetics Mining influential genes based on deep learning. January 23, 2021
Bioinformatics | Genomics | Oncology Classification of Cancer Types Using Graph Convolutional Neural Networks. January 13, 2021
Critical Care Medicine | Molecular Biology Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values. November 12, 2020
Oncology | Radiology Association of radiomic imaging features and gene expression profile as prognostic factors in pancreatic ductal adenocarcinoma. August 11, 2019
Bioinformatics | Genetics | Immunology Approaching neural net feature interpretation using stacked autoencoders: gene expression profiling of systemic lupus erythematosus patients. July 1, 2019
Genomics | Oncology | Pathology Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes. January 14, 2019
Bioinformatics | Circadian Biology | Genetics | Machine Learning Identification of human circadian genes based on time course gene expression profiles by using a deep learning method. September 20, 2018