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dc.contributor.authorLi, Ran
dc.contributor.authorYu, Liangyong
dc.contributor.authorZhou, Bo
dc.contributor.authorZeng, Xiangrui
dc.contributor.authorWang, Zhenyu
dc.contributor.authorYang, Xiaoyan
dc.contributor.authorZhang, Jing
dc.contributor.authorGao, Xin
dc.contributor.authorJiang, Rui
dc.contributor.authorXu, Min
dc.date.accessioned2021-03-01T12:47:34Z
dc.date.available2021-03-01T12:47:34Z
dc.date.issued2019-06-13
dc.identifier.urihttp://hdl.handle.net/10754/667784
dc.description.abstractAI for tomography
dc.publisherGithub
dc.relation.urlhttps://github.com/xulabs/aitom
dc.titlexulabs/aitom: AI for tomography
dc.typeSoftware
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentStructural and Functional Bioinformatics Group
dc.contributor.institutionDepartment of Automation, Tsinghua University, Beijing, China.
dc.contributor.institutionComputational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA.
dc.contributor.institutionDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
dc.contributor.institutionDepartment of Computer Science, University of California Irvine, Irvine, CA, USA.
kaust.personGao, Xin
dc.relation.issupplementtoDOI:10.1371/journal.pcbi.1008227
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Article]</i> <br/> Li, R., Yu, L., Zhou, B., Zeng, X., Wang, Z., Yang, X., … Xu, M. (2020). Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLOS Computational Biology, 16(11), e1008227. doi:10.1371/journal.pcbi.1008227. DOI: <a href="https://doi.org/10.1371/journal.pcbi.1008227" >10.1371/journal.pcbi.1008227</a> Handle: <a href="http://hdl.handle.net/10754/665918" >10754/665918</a></a></li></ul>
dc.identifier.githubxulabs/aitom


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