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stochprofML: stochastic profiling using maximum likelihood estimation in R

Abstract Background Tissues are often heterogeneous in their single-cell molecular expression, and this can govern the regulation of cell fate. For the understanding of development and disease, it is important to quantify heterogeneity in a given tissue. Results We present the R package stochprofML...

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Principais autores: Lisa Amrhein, Christiane Fuchs
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2021-03-01
Serier:BMC Bioinformatics
Fag:
StochprofML
Stochastic profiling
Gene expression
Cell-to-cell heterogeneity
Mixture models
Deconvolution
Online adgang:https://doi.org/10.1186/s12859-021-03970-7
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