Genomics

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MicroRNA expression profling from 14 adult whole blood samples with flow cytometry cell fractions


ABSTRACT: Cellular heterogeneity represents one of the foremost confounding factors currently facing omics study, including miRNAome. Statistical methods leveraging the cell-specificity of miRNA expression for deconvoluting the cellular mixture of heterogeneous biospecimens, may provide a solution. The objective of this study is to develop and validate an algorithm for the deconvolution of heterogeneous samples such as whole blood based on miRNA expression profiling data.

ORGANISM(S): Homo sapiens

PROVIDER: GSE268516 | GEO | 2025/05/15

REPOSITORIES: GEO

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