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. 2019 Aug 20;10:744. doi: 10.3389/fgene.2019.00744

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Copyright © 2019 Shi, Hu, Zeng and Zhang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performance of MSCA under different parameters. Varying selected nearest neighbor number K or the tuning parameter λ, MSCA identifies the predefined clusters in simData2.