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BTR: training asynchronous Boolean models using single-cell expression data

Published in Figshare • Jan 1, 2016
NobleIDNI6P548W105R790S713
Authors:
Chee Lim
,
Huange Wang
,
Steven Woodhouse

Abstract

Abstract Background Rapid technological innovation for the generation of single-cell genomics data presents new challenges and opportunities for bioinformatics analysis. One such area lies in the development of new ways to train gene regulatory networks. The use of single-cell expression profiling t...

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