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In which, the gene/protein network can be the protein interaction network as in [32], the gene semantic similarity network as in [34] as well as one constructed based on expression profiles of genes.
Both unsupervised, hierarchical cluster analysis and supervised, 2-cluster K-means analysis (data not shown) revealed complete separation of the autistic and control groups based on expression profiles of the differentially expressed miRNAs.
We defined an embryonic mammary signature based on expression profiles of genes found highly expressed within midgestation (E12.5-stage) embryonic epithelium compared with postnatal mammary epithelial cells described in Additional file 2[ 13, 13].
Given that many cancer cells undergo some degree of epithelial-mesenchymal transition (EMT), we also defined an embryonic mammary mesenchymal signature based on expression profiles of genes found highly expressed within embryonic mammary mesenchymal tissue compared with postnatal mammary cells (see Additional file 14).
Co-expressed gene clusters were predicted based on expression profiles and genomic locations.
Genes encoding non-transcription factor (NTF) proteins (2,456) were further classified based on expression profiles to establish the composition of various co-expressed groups (regulatory clusters) controlled by the different classes of TFs listed in Table 1.
Similar(23)
MCF10A is particularly useful for the present studies as based on expression profiling studies it expresses markers most often associated with the basal-epithelial phenotype.
Although cancer stem cell populations have been identified in these tumors [ 41- 43], one cannot conclude that these bear resemblance to MaSCs based on expression profiling studies.
For instance, a systematic categorization of the treatments based on expression profile, similar to the approach taken in Connectivity map50 and thus could select food components that have effects on certain genes and pathways.
Almost invariably these approaches were based on expression profiling, which in tumor samples is probably correlates and late events, among the steps leading to tumor development and progression.
Distinguishing direct versus indirect effects based on expression profiling, however, is difficult since MYCN regulates other transcription factors as well as regulatory RNAs such as miRNAs.
More suggestions(15)
based on energy profiles
based on mission profiles
based on expression trends
based on user profiles
based on symptom profiles
based on risk profiles
based on attribute profiles
based on expression analyses
based on expression changes
based on customer profiles
based on enzyme profiles
based on expression variations
based on protein profiles
based on expression values
based on concept profiles
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