Cite
MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy
MLA
Zhijian Yin, et al. “MIC_Locator: A Novel Image-Based Protein Subcellular Location Multi-Label Prediction Model Based on Multi-Scale Monogenic Signal Representation and Intensity Encoding Strategy.” BMC Bioinformatics, vol. 20, no. 1, June 2019. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....2d16d6c3acb967f1aa353437bf446235&authtype=sso&custid=ns315887.
APA
Zhijian Yin, Fan Yang, Yanbin Wang, Yang Liu, & Zhen Yang. (2019). MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy. BMC Bioinformatics, 20(1).
Chicago
Zhijian Yin, Fan Yang, Yanbin Wang, Yang Liu, and Zhen Yang. 2019. “MIC_Locator: A Novel Image-Based Protein Subcellular Location Multi-Label Prediction Model Based on Multi-Scale Monogenic Signal Representation and Intensity Encoding Strategy.” BMC Bioinformatics 20 (1). http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....2d16d6c3acb967f1aa353437bf446235&authtype=sso&custid=ns315887.