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WormBase Tree Display for Expression_cluster: WBPaper00025032:cluster_115

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Name Class

WBPaper00025032:cluster_115DescriptionC-lineage related expression profile.
SpeciesCaenorhabditis elegans
AlgorithmQT clustering
ReferenceWBPaper00025032
Microarray_results171890_x_at
171981_x_at
173531_at
173820_s_at
174030_at
174210_at
174353_at
174425_at
174505_at
174869_at
174894_at
175553_at
179196_at
180039_at
GeneWBGene00002217
WBGene00012317
WBGene00007651
WBGene00010628
WBGene00002632
WBGene00015324
WBGene00001179
WBGene00002717
WBGene00012122
WBGene00006543
WBGene00008999
WBGene00019345
WBGene00000139
WBGene00013197
Attribute_ofMicroarray_experimentWBPaper00025032:N2_0_min
WBPaper00025032:N2_23_min
WBPaper00025032:N2_41_min
WBPaper00025032:N2_53_min
WBPaper00025032:N2_66_min
WBPaper00025032:N2_83_min
WBPaper00025032:N2_101_min
WBPaper00025032:N2_122_min
WBPaper00025032:N2_143_min
WBPaper00025032:N2_186_min
WBPaper00025032:mex-3_skn-1_0_min
WBPaper00025032:mex-3_skn-1_23_min
WBPaper00025032:mex-3_skn-1_41_min
WBPaper00025032:mex-3_skn-1_53_min
WBPaper00025032:mex-3_skn-1_66_min
WBPaper00025032:mex-3_skn-1_83_min
WBPaper00025032:mex-3_skn-1_101_min
WBPaper00025032:mex-3_skn-1_122_min
WBPaper00025032:mex-3_skn-1_143_min
WBPaper00025032:mex-3_skn-1_186_min
WBPaper00025032:pie-1_0_min
WBPaper00025032:pie-1_23_min
WBPaper00025032:pie-1_41_min
WBPaper00025032:pie-1_53_min
WBPaper00025032:pie-1_66_min
WBPaper00025032:pie-1_83_min
WBPaper00025032:pie-1_101_min
WBPaper00025032:pie-1_122_min
WBPaper00025032:pie-1_143_min
WBPaper00025032:pie-1_186_min
RemarkThis clustering algorithm assembles a series of clusters ordered by size with a defined limit on the largest pair-wise distance allowed between any two profiles in a cluster. Distance between profiles is measured as 1-R, where R is the Pearson correlation coefficient. Although we limited this distance to 0.3, some genes are included in clusters simply by chance. To reduce the spurious inclusion of these genes in the final clusters, we systematically re-sampled our data (100 times) with two forms of synthetic noise added at each reiteration to generate an Ravg. Noise was added to log2 scale RMA expression data, and was generated by a two-component model consisting of an additive Gaussian background with standard deviation 0.2, and a multiplicative Gaussian sampling error with a standard deviation of 0.05. Simulated data were floored at 1 RMA unit.
Type: Co-expression Cluster