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Prediction of PBMC Cell Types Using scRNAseq Reference Profiles | IEEE Conference Publication | IEEE Xplore

Prediction of PBMC Cell Types Using scRNAseq Reference Profiles


Abstract:

Single cell transcriptomics enables a high-resolution concurrent measurement of gene expression from tens of thousands of cells. We developed a method for determining sta...Show More

Abstract:

Single cell transcriptomics enables a high-resolution concurrent measurement of gene expression from tens of thousands of cells. We developed a method for determining standardized profiles from SCT data. We defined 48 data sets from 13 different studies and developed single-cellderived-class” (SCDC) profiles representing multiple classes and subclasses of peripheral blood mononuclear cells (PBMC). We applied pattern recognition analysis by calculating the distance from each query cell to the SCDC profiles (excluding the profiles of the query cells). Classification of cells by pattern recognition showed excellent performance for PBMC that were isolated, but not further processed by cell sorting.
Date of Conference: 16-19 December 2020
Date Added to IEEE Xplore: 13 January 2021
ISBN Information:
Conference Location: Seoul, Korea (South)

References

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