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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