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Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.

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Title: Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.
Authors: Gingerich, Ian K.1,2 (AUTHOR) ian.gingerich.gr@dartmouth.edu, Goods, Brittany A.2 (AUTHOR), Frost, H. Robert1 (AUTHOR) hildreth.r.frost@dartmouth.edu
Source: PLoS Computational Biology. 12/10/2025, Vol. 21 Issue 12, p1-28. 28p.
Database: Academic Search Ultimate
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  Data: Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.
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  Data: <searchLink fieldCode="AR" term="%22Gingerich%2C+Ian+K%2E%22">Gingerich, Ian K.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ian.gingerich.gr@dartmouth.edu</i><br /><searchLink fieldCode="AR" term="%22Goods%2C+Brittany+A%2E%22">Goods, Brittany A.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frost%2C+H%2E+Robert%22">Frost, H. Robert</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hildreth.r.frost@dartmouth.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 12/10/2025, Vol. 21 Issue 12, p1-28. 28p.
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        Value: 10.1371/journal.pcbi.1013759
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      – TitleFull: Randomized Spatial PCA (RASP): A computationally efficient method for dimensionality reduction of high-resolution spatial transcriptomics data.
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