ClusDec: де-ново деконволюция клеточных типов из данных транскрипции без использования клеточных подписей.

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Gene expression analysis is a widely used technique central to modern molecular biology. Samples of interest are often composed of several cell types, and such heterogeneity confounds the interpretation of the expression data. Here we introduce ClustDec, de novo deconvolution method that allows identification of individual cell types in the mixture without knowing either cell types proportions or their corresponding cell-specific markers. In several applications, we demonstrate the utility of our approach for identifying novel or unexpected cell types in clinically relevant situations.

Студент:
Куратор:
   Александр Предеус
Время выполнения проекта: Sep 2015 — Sep 2015
Файлы: