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scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.

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Title: scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
Authors: Zhai, Yuyao1 (AUTHOR), Chen, Liang2 (AUTHOR), Deng, Minghua1,3,4 (AUTHOR) dengmh@pku.edu.cn
Source: Briefings in Bioinformatics. May2024, Vol. 25 Issue 3, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="AR" term="%22Zhai%2C+Yuyao%22">Zhai, Yuyao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Liang%22">Chen, Liang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Minghua%22">Deng, Minghua</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<i> dengmh@pku.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Briefings+in+Bioinformatics%22">Briefings in Bioinformatics</searchLink>. May2024, Vol. 25 Issue 3, p1-19. 19p.
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        Value: 10.1093/bib/bbae188
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        Text: English
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        PageCount: 19
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      – TitleFull: scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
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            NameFull: Zhai, Yuyao
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            NameFull: Chen, Liang
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              Text: May2024
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              Y: 2024
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