Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Functional annotation clustering conducted with DAVID of the top 5 % of homologs ranked by the number of commonly co-expressed genes. Sheet 2: Functional annotation clustering conducted with DAVID of the bottom 5 % of homologs ranked by the number of commonly co-expressed genes. Sheets 3 and 4: Same analysis as sheet 1 and 2 but using one-to-one homologous genes only. Sheets 5–8: Functional enrichment analysis using the GSEA method on the same gene lists as described for sheet 1–4. (XLS 756 kb
Background Computational approaches toward gene annotation are a formidable challenge, now that many...
Contribution of selection criteria to genetic interaction types. (A) Hierarchical clustering of GSTF...
Functional analysis of the red module genes. Over-represented GO/pathway terms were grouped based on...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Novel candidate conserved homologs associated with genes sets. Sheet 1: results using tissue gene se...
Gene co-expression and connectivity. List of humans and mice homologous genes annotated with HGNC sy...
Supplementary figures and tables. Figure S1: Comparison of thresholds to retrieve the number of comm...
Evolutionary changes of gene sets described by the four parameters of conservation explained in the ...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background Computational approaches toward gene annotation are a formidable challenge, now that many...
Contribution of selection criteria to genetic interaction types. (A) Hierarchical clustering of GSTF...
Functional analysis of the red module genes. Over-represented GO/pathway terms were grouped based on...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Functional analysis of genes with high and low number of commonly co-expressed genes. Sheet 1: Funct...
Novel candidate conserved homologs associated with genes sets. Sheet 1: results using tissue gene se...
Gene co-expression and connectivity. List of humans and mice homologous genes annotated with HGNC sy...
Supplementary figures and tables. Figure S1: Comparison of thresholds to retrieve the number of comm...
Evolutionary changes of gene sets described by the four parameters of conservation explained in the ...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background: Computational approaches toward gene annotation are a formidable challenge, now that man...
Background Computational approaches toward gene annotation are a formidable challenge, now that many...
Contribution of selection criteria to genetic interaction types. (A) Hierarchical clustering of GSTF...
Functional analysis of the red module genes. Over-represented GO/pathway terms were grouped based on...