Article

Translation of cellular protein localization by generative adversarial network

2021-04-24

Abstract excerpt

The protein localization in cells had been analyzed by the fluorescent labeling by indirect immunofluorescence and fluorescent protein tagging. However, the relationships between the localizations between different proteins had not been analyzed by artificial intelligence. In this study, we applied the generative adversarial network (GAN) to generate the protein localizations each other, in which the generation wa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 77e495de-94c5-5fd8-ab92-3a2d6c4ee56a
DOI: 10.1101/2021.04.23.441224

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Translation of cellular protein localization by generative adversarial networkDOI 10.1101/2021.04.23.441224Read

Determination of nuclear position by the arrangement of actin filaments using deep generative networksSemantic proximity Read

CytoGAN: Generative Modeling of Cell ImagesSemantic proximity Read

In silico spatial transcriptomic editing at single-cell resolutionSemantic proximity Read

Multi-Label Protein Subcellular Localization Using Graph Attention and Self-Attention-Based Feature RecalibrationSemantic proximity Read

Revealing invisible cell phenotypes with conditional generative modelingSemantic proximity Read

Cycle-consistent Generative Adversarial Network for computational hematoxylin-and-eosin staining of fluorescence confocal microscopic images of basal cell carcinoma tissueSemantic proximity Read

Vermeer: Autoregressive generative modeling of microscopy predicts protein localizationSemantic proximity Read

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial NetworksSemantic proximity Read

Generative AI for Cell Type-Specific Fluorescence Image Generation of hPSC-derived Cardiac OrganoidSemantic proximity Read

Generative Adversarial Network Model to Classify Human Induced Pluripotent Stem Cell-Cardiomyocytes based on Maturation LevelSemantic proximity Read

Label2label: Training a neural network to selectively restore cellular structures in fluorescence microscopySemantic proximity Read

Generative interpolation and restoration of images using deep learning for improved 3D tissue mappingSemantic proximity Read