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- W2912771929 abstract "Single cell transcriptomics (SCT) reveals cellular patterns that are masked and hidden in bulk RNA experiments. We analyzed 100 human SCT data sets for summary patterns that quantify gene expression per individual cell as well as per gene. Peripheral Blood Mononuclear Cells (PBMCs) show patterns different to those of cancer cell lines, stem cells, embryonic stem cells and other cell types. The results indicate that classification methods based on overall properties of SCT data sets provide a useful first step for classification of cell types and subtypes." @default.
- W2912771929 created "2019-02-21" @default.
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- W2912771929 date "2018-12-01" @default.
- W2912771929 modified "2023-09-25" @default.
- W2912771929 title "Single Cell Transcriptomics Reveals Summary Patterns Specific for PBMCs and Other Cell Types" @default.
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- W2912771929 doi "https://doi.org/10.1109/bibm.2018.8621396" @default.
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