Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning

Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. Unsupervised classification may serve as the first step in the assessment of structural heterogeneity. However, traditional algorithms for uns...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Jiayi, Ma, Yong-Bei, Congdon, Charles, Brett, Bevin, Chen, Shuobing, Xu, Yaofang, Ouyang, Qi, Mao, Youdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546606/
https://www.ncbi.nlm.nih.gov/pubmed/28786986
http://dx.doi.org/10.1371/journal.pone.0182130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546606/
https://www.ncbi.nlm.nih.gov/pubmed/28786986
http://dx.doi.org/10.1371/journal.pone.0182130

Ejemplares similares