Figures
Similarity in gene expression trajectories as evaluated by the Dirichlet process Gaussian Process (DPGP) clustering algorithm
Gene expression responses in Halobacterium salinarum exposed to hydrogen peroxide were clustered using the DPGP algorithm. The heatmap displays the proportion of DPGP samples from the Markov chain in which each gene, on the rows and columns, co-clusters with every other gene. Rows and columns were hierarchically clustered by Ward's linkage. The value of the co-clustering proportion scales linearly with intensity (0=black, 1=white). McDowell et al.
Image Credit: Ian McDowell
Citation: (2018) PLoS Computational Biology Issue Image | Vol. 14(1) January 2018. PLoS Comput Biol 14(1): ev14.i01. https://doi.org/10.1371/image.pcbi.v14.i01
Published: January 31, 2018
Copyright: © 2018 McDowell. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Gene expression responses in Halobacterium salinarum exposed to hydrogen peroxide were clustered using the DPGP algorithm. The heatmap displays the proportion of DPGP samples from the Markov chain in which each gene, on the rows and columns, co-clusters with every other gene. Rows and columns were hierarchically clustered by Ward's linkage. The value of the co-clustering proportion scales linearly with intensity (0=black, 1=white). McDowell et al.
Image Credit: Ian McDowell