In cancer genomics research, one important problem is that the solid tissue sample obtained from clinical settings is always a mixture of cancer and normal cells. The sample mixture brings complication in data analysis and results in biased findings if not correctly accounted…
Desktop app
methylSpectrum methylSpectrum

methylSpectrum

Deconvolutes of DNA methylation array data into source contributions from…

Deconvolutes of DNA methylation array data into source contributions from distinct cell types. methylSpectrum is a method for inferring changes in the distribution of white blood cells between…

Desktop app
InfiniumPurify InfiniumPurify

InfiniumPurify

A simple but effective method to estimate tumor purities from the microarray…

A simple but effective method to estimate tumor purities from the microarray data. Analyses of the TCGA lung cancer data demonstrate favorable performance of the proposed method. InfiniumPurify is…

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