BibTex format
@inproceedings{Fowler:2013,
author = {Fowler, A and Heard, NA},
pages = {165--170},
title = {Dynamic Bayesian clustering of gene expression data},
year = {2013}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - Clusters of time series data may change location and memberships over time; in gene expression data, this occurs as groups of genes or samples respond differently to stimuli or experimental conditions at different times. In order to uncover this underlying temporal structure, we consider dynamic clusters which not only change location but also split and merge over time, enabling cluster memberships to change. Dynamic clustering is applied to both cyclic and developmental gene expression data sets and reveals interesting, time-dependent structures which could not be identified using traditional clustering methods.
AU - Fowler,A
AU - Heard,NA
EP - 170
PY - 2013///
SP - 165
TI - Dynamic Bayesian clustering of gene expression data
ER -