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scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data.

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Title: scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data.
Authors: Zhao, Fengdi1 (AUTHOR), Ma, Xin1 (AUTHOR), Yao, Bing2 (AUTHOR), Lu, Qing1 (AUTHOR), Chen, Li1 (AUTHOR) lichen1@ufl.edu
Source: PLoS Computational Biology. 8/2/2024, Vol. 20 Issue 8, p1-28. 28p.
Database: Academic Search Ultimate
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  Data: scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Fengdi%22">Zhao, Fengdi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Xin%22">Ma, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Bing%22">Yao, Bing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Qing%22">Lu, Qing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Li%22">Chen, Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lichen1@ufl.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 8/2/2024, Vol. 20 Issue 8, p1-28. 28p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=178815339
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        Value: 10.1371/journal.pcbi.1011854
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        Text: English
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            NameFull: Zhao, Fengdi
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              Text: 8/2/2024
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