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. 2007 Jun 4;8(6):R98. doi: 10.1186/gb-2007-8-6-r98

Table 1.

Number of bimodally expressed genes

Sample Modela Line effectb Bimodalc
NC Raw data 297 206
Mixed model normalization 192 324
Loess normalization 470 304
Both mixed and loess 188 162
CA Raw data 285 243
Mixed model normalization 119 409
Loess normalization 406 319
Both mixed and loess 114 131
Common to both CA and NC 204 69d

a'Raw data' refers to analysis directly on the log transformed raw fluorescence intensity measures, without normalization to remove array effects. 'Mixed model' refers to gene-specific models after mixed model normalization (as described in Materials and methods). 'Loess normalization' refers to analysis after loess treatment of the arrays. Note that loess increases the number of genes with significant line effects, but it reduces the number with apparent bimodality. bThe number of genes exhibiting greater line variation than the residual when treating the line effect as a random factor. cThe number of genes for which the mixture modeling indicates a greater likelihood that the distribution of transcript abundance across lines has two or more modes. dThe total number of genes with bimodal expression in both populations, either from the mixed (48 genes), loess (33 genes), or both modes of analysis (12 genes). CA, California, NC, North Carolina.