Estimating the proportions in a mixed sample using transcriptomics

Bertrand Clarke, Jennifer Clarke

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Often, biomedical researchers take a tissue sample from a tumour that unintentionally contains tumour cells and stromal cells so that gene expression from the sample represents two distinct kinds of cells. This is tolerated because techniques for separating tumour and stromal cells are expensive and time-consuming and the act of separation can alter gene expression. So, it is desirable to have a technique for estimating the proportion of tumour cells in a mixed sample to improve detection of differential expression in cancer cells.

Original languageEnglish (US)
Pages (from-to)313-325
Number of pages13
JournalStat
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2014

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Proportion
Tumor
Cell
Neoplasms
Stromal Cells
Gene Expression
Differential Expression
Research Personnel
Cancer
Distinct
Gene expression

Keywords

  • Deconvolution
  • Gene expression
  • Mixed sample
  • Proportion

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Estimating the proportions in a mixed sample using transcriptomics. / Clarke, Bertrand; Clarke, Jennifer.

In: Stat, Vol. 3, No. 1, 01.01.2014, p. 313-325.

Research output: Contribution to journalArticle

Clarke, Bertrand ; Clarke, Jennifer. / Estimating the proportions in a mixed sample using transcriptomics. In: Stat. 2014 ; Vol. 3, No. 1. pp. 313-325.
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