Cargando…

CDAE: A Cascade of Denoising Autoencoders for Noise Reduction in the Clustering of Single-Particle Cryo-EM Images

As an emerging technology, cryo-electron microscopy (cryo-EM) has attracted more and more research interests from both structural biology and computer science, because many challenging computational tasks are involved in the processing of cryo-EM images. An important image processing step is to clus...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lei, Houchao, Yang, Yang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854571/ https://www.ncbi.nlm.nih.gov/pubmed/33552141 http://dx.doi.org/10.3389/fgene.2020.627746

Ejemplares similares

Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer
por: Li, Hongjia, et al.
Publicado: (2022)

Topaz-Denoise: general deep denoising models for cryoEM and cryoET
por: Bepler, Tristan, et al.
Publicado: (2020)

Denoising Vanilla Autoencoder for RGB and GS Images with Gaussian Noise
por: Miranda-González, Armando Adrián, et al.
Publicado: (2023)

Denoising Autoencoder Trained on Simulation-Derived Structures for Noise Reduction in Chromatin Scanning Transmission Electron Microscopy
por: Alvarado, Walter, et al.
Publicado: (2023)

An Unsupervised Classification Algorithm for Heterogeneous Cryo-EM Projection Images Based on Autoencoders
por: Wang, Xiangwen, et al.
Publicado: (2023)

Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
por: Li, Zexin, et al.
Publicado: (2020)

CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN
por: Qin, Feng, et al.
Publicado: (2021)

Sparse Convolutional Denoising Autoencoders for Genotype Imputation
por: Chen, Junjie, et al.
Publicado: (2019)

Single-particle cryo-EM: beyond the resolution
por: Armache, Jean-Paul, et al.
Publicado: (2019)

A Super-Clustering Approach for Fully Automated Single Particle Picking in Cryo-EM
por: Al-Azzawi, Adil, et al.
Publicado: (2019)

Denoising of Optics Measurements Using Autoencoder Neural Networks
por: Fol, Elena, et al.
Publicado: (2021)

Benchmarking cryo-EM Single Particle Analysis Workflow
por: Kim, Laura Y., et al.
Publicado: (2018)

A potential difference for single-particle cryo-EM
por: Rosenthal, Peter B.
Publicado: (2019)

scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering
por: Wang, Yunhe, et al.
Publicado: (2023)

Functionalized graphene grids with various charges for single-particle cryo-EM
por: Lu, Ye, et al.
Publicado: (2022)

Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
por: Wang, Qu, et al.
Publicado: (2019)

Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement
por: Coto-Jiménez, Marvin
Publicado: (2020)

Rapid, Reference-Free human genotype imputation with denoising autoencoders
por: Dias, Raquel, et al.
Publicado: (2022)

Comparison of Training Strategies for Autoencoder-Based Monochromatic Image Denoising
por: Jóźwik-Wabik, Piotr, et al.
Publicado: (2023)

Cryo-EM single particle analysis with the Volta phase plate
por: Danev, Radostin, et al.
Publicado: (2016)

Towards automating single-particle cryo-EM data acquisition
por: Dienemann, Christian
Publicado: (2023)

Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning
por: Wu, Jiayi, et al.
Publicado: (2017)

Single-cell RNA-seq denoising using a deep count autoencoder
por: Eraslan, Gökcen, et al.
Publicado: (2019)

Cascading Alignment for Unsupervised Domain-Adaptive DETR with Improved DeNoising Anchor Boxes
por: Geng, Huantong, et al.
Publicado: (2022)

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder
por: Zhao, Jianping, et al.
Publicado: (2021)

Coma-corrected rapid single-particle cryo-EM data collection on the CRYO ARM 300
por: Efremov, Rouslan G., et al.
Publicado: (2021)

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
por: Ni, Qin, et al.
Publicado: (2020)

A Denoising Scheme for Randomly Clustered Noise Removal in ICCD Sensing Image
por: Wang, Fei, et al.
Publicado: (2017)

Cryo-EM of nucleosome core particle interactions in trans
por: Bilokapic, Silvija, et al.
Publicado: (2018)

Cryo-EM Structure of a Begomovirus Geminate Particle
por: Xu, Xiongbiao, et al.
Publicado: (2019)

Denoising Autoencoder-Based Feature Extraction to Robust SSVEP-Based BCIs
por: Chen, Yeou-Jiunn, et al.
Publicado: (2021)

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
por: Solovyeva, Elena, et al.
Publicado: (2022)

Dual Residual Denoising Autoencoder with Channel Attention Mechanism for Modulation of Signals
por: Duan, Ruifeng, et al.
Publicado: (2023)

Single-Particle Cryo-EM of the Ryanodine Receptor Channel in an Aqueous Environment
por: Baker, Mariah R., et al.
Publicado: (2015)

Routine single particle CryoEM sample and grid characterization by tomography
por: Noble, Alex J, et al.
Publicado: (2018)

Could Egg White Lysozyme be Solved by Single Particle Cryo-EM?
por: Zhang, Y., et al.
Publicado: (2020)

Single-particle cryo-EM: alternative schemes to improve dose efficiency
por: Zhang, Yue, et al.
Publicado: (2021)

Classifying liganded states in heterogeneous single-particle cryo-EM datasets
por: Arnold, William R, et al.
Publicado: (2022)

Emerging Themes in CryoEM—Single Particle Analysis Image Processing
por: Vilas, Jose Luis, et al.
Publicado: (2022)

Recent Technical Advances in Sample Preparation for Single-Particle Cryo-EM
por: Xu, Yixin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_brron9uhd8rbd14b0lk4p9hk9p