PDF Output of CLIC (Clustering by Inferred Co-Expression)

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PDF Output of CLIC (clustering by inferred co-expression) Dataset: Num of genes in input gene set: 34 Total number of genes: 16493 CLIC PDF output has three sections: 1) Overview of Co-Expression Modules (CEMs) Heatmap shows pairwise correlations between all genes in the input query gene set. Red lines shows the partition of input genes into CEMs, ordered by CEM strength. Each row shows one gene, and the brightness of squares indicates its correlations with other genes. Gene symbols are shown at left side and on the top of the heatmap. 2) Details of each CEM and its expansion CEM+ Top panel shows the posterior selection probability (dataset weights) for top GEO series datasets. Bottom panel shows the CEM genes (blue rows) as well as expanded CEM+ genes (green rows). Each column is one GEO series dataset, sorted by their posterior probability of being selected. The brightness of squares indicates the gene's correlations with CEM genes in the corresponding dataset. CEM+ includes genes that co-express with CEM genes in high-weight datasets, measured by LLR score. 3) Details of each GEO series dataset and its expression profile: Top panel shows the detailed information (e.g. title, summary) for the GEO series dataset. Bottom panel shows the background distribution and the expression profile for CEM genes in this dataset. Overview of Co-Expression Modules (CEMs) with Dataset Weighting Scale of average Pearson correlations Num of Genes in Query Geneset: 34. Num of CEMs: 0. 0.0 0.2 0.4 0.6 0.8 1.0 Myh6 Myo9b Dynll2 Myo5a Myo1e Myo7b Myl12a Cgnl1 Myo7a Myo15 Myo10 Bmf Myo5c Myo1g Myl12b Myh14 Filip1l Myo1a Cgn Myl6b Myo3a Myl6 Myo5b Myh10 Myo16 Myl2 Myh7 Myl7 Myo1h Myo19 Myo18a Myo1b Myo1d Myo3b Myh6 Myo9b Dynll2 Myo5a Myo1e Myo7b Myl12a Cgnl1 Myo7a Myo15 Myo10 Bmf Myo5c Myo1g Myl12b Myh14 Filip1l Singletons Myo1a Cgn Myl6b Myo3a Myl6 Myo5b Myh10 Myo16 Myl2 Myh7 Myl7 Myo1h Myo19 Myo18a Myo1b Myo1d Myo3b.

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