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Random Projection Methods Outperform Principal Component Analysis for Dimensionality Reduction in Single Cell RNA-Seq.

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Title: Random Projection Methods Outperform Principal Component Analysis for Dimensionality Reduction in Single Cell RNA-Seq.
Authors: Abdelnaby, Mohamed1 (AUTHOR), Moussa, Marmar R.1,2 (AUTHOR) marmar.moussa@ou.edu
Source: Journal of Computational Biology. May/Jun2026, Vol. 33 Issue 5/6, p660-679. 20p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 194057124
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PubType: Academic Journal
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  Data: Random Projection Methods Outperform Principal Component Analysis for Dimensionality Reduction in Single Cell RNA-Seq.
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  Data: <searchLink fieldCode="AR" term="%22Abdelnaby%2C+Mohamed%22">Abdelnaby, Mohamed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moussa%2C+Marmar+R%2E%22">Moussa, Marmar R.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> marmar.moussa@ou.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Biology%22">Journal of Computational Biology</searchLink>. May/Jun2026, Vol. 33 Issue 5/6, p660-679. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194057124
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        Value: 10.1177/15578666261436821
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        Text: English
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        PageCount: 20
        StartPage: 660
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      – TitleFull: Random Projection Methods Outperform Principal Component Analysis for Dimensionality Reduction in Single Cell RNA-Seq.
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            NameFull: Abdelnaby, Mohamed
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              Text: May/Jun2026
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              Y: 2026
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