Deep Learning based Method for Segmentation, Tracking, and Analysis of Intracellular Proteins and Their Interactions
The in-vivo functions of many proteins highly depend on their ability to assemble into
supramolecular complexes at specific subcellular localizations. Such subcellular …
supramolecular complexes at specific subcellular localizations. Such subcellular …
Rethinking sequential relationships: Improving sequential recommenders with inter-sequence data augmentation
Predicting customer preferences for each item is a prerequisite module for most
recommender systems in e-commerce. However, the sparsity of behavioral data is often a …
recommender systems in e-commerce. However, the sparsity of behavioral data is often a …
Modeling and Analysis of Subcellular Protein Localization in Hyper-Dimensional Fluorescent Microscopy Images Using Deep Learning Methods
Y Jiao - 2022 - search.proquest.com
Hyper-dimensional images are informative and become increasingly common in biomedical
research. However, the machine learning methods of studying and processing the hyper …
research. However, the machine learning methods of studying and processing the hyper …