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• W2049248002 abstract "Traditionally, gene expression measurements were performed on bulk samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in bulk measurements can now be observed directly. In this review we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response." @default.
• W2049248002 created "2016-06-24" @default.
• W2049248002 creator A5045121521 @default.
• W2049248002 creator A5047092609 @default.
• W2049248002 date "2015-03-10" @default.
• W2049248002 modified "2023-10-02" @default.
• W2049248002 title "Single Cell Transcriptomics: Methods and Applications" @default.
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• W2049248002 doi "https://doi.org/10.3389/fonc.2015.00053" @default.
• W2049248002 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4354386" @default.
• W2049248002 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25806353" @default.
• W2049248002 hasPublicationYear "2015" @default.
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