Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6372059 | Mathematical Biosciences | 2014 | 6 Pages |
Abstract
Herein, we propose an algorithm to detect stage transitions in a time series of expression levels of a gene by defining statistically optimal division points. The algorithm shows detecting ability for simulated datasets. An annotation based analysis on detecting results for a dataset of initial development of Caenorhabditis elegans agrees with that are presented in the literature.
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Authors
Daisuke Tominaga,