Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms.
M. Xu, and F. Alber. Bioinform., 29 (13):
274-282(2013)
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/bioinformatics/XuA13
%A Xu, Min
%A Alber, Frank
%D 2013
%J Bioinform.
%K dblp
%N 13
%P 274-282
%T Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms.
%U http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics29.html#XuA13
%V 29
@article{journals/bioinformatics/XuA13,
added-at = {2020-03-02T00:00:00.000+0100},
author = {Xu, Min and Alber, Frank},
biburl = {https://www.bibsonomy.org/bibtex/21d3cba5518218e0a1636a4a365b609b0/dblp},
ee = {https://www.wikidata.org/entity/Q31122282},
interhash = {c79f5356f7bee0e7d696c2910c31feee},
intrahash = {1d3cba5518218e0a1636a4a365b609b0},
journal = {Bioinform.},
keywords = {dblp},
number = 13,
pages = {274-282},
timestamp = {2020-03-03T12:01:19.000+0100},
title = {Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms.},
url = {http://dblp.uni-trier.de/db/journals/bioinformatics/bioinformatics29.html#XuA13},
volume = 29,
year = 2013
}
