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Article

A Bayesian approach to accurate and robust signature detection on LINCS L1000 data

2019-09-16

Abstract excerpt

LINCS L1000 dataset produced by L1000 assay contains numerous cellular expression data induced by large sets of perturbagens. Although it provides invaluable resources for drug discovery as well as understanding of disease mechanisms, severe noise in the dataset makes the detection of reliable gene expression signals difficult. Existing methods for the peak deconvolution, either k -means based or Gaussian mixture...

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Literature Corpus work
a9c01c98-e804-5f97-82d1-804833ffcd73
DOI
10.1101/769620
Open publication

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A Bayesian approach to accurate and robust signature detection on LINCS L1000 dataDOI 10.1101/769620
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