Article

Leveraging heterogeneity across multiple data sets increases accuracy of cell-mixture deconvolution and reduces biological and technical biases

2017-10-20

Abstract excerpt

In silico quantification of cell proportions from mixed-cell transcriptomics data (deconvolution) requires a reference expression matrix, called basis matrix. We hypothesized that matrices created using only healthy samples from a single microarray platform would introduce biological and technical biases in deconvolution. We show presence of such biases in two existing matrices, IRIS and LM22, irrespective of the...

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Identifiers and source

Literature Corpus work: be5e8347-c0df-5cf8-8a28-7e7a3217585a
DOI: 10.1101/206466

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