Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns.

ABSTRACT: Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to assess protein localizations, with increasing demand of automated high throughput analysis methods to supplement the technical advancements in high throughput imaging. Here, we study the applicability of deep neural network-based artificial intelligence in classification of protein localization in 13 cellular subcompartments. We use deep learning-based on convolutional neural network and fully convolutional network with similar architectures for the classification task, aiming at achieving accurate classification, but importantly, also com

SUBMITTER: Liimatainen K 

PROVIDER: S-EPMC7916854 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature