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To our knowledge, there are currently four published studies that have characterised gene expression patterns of whole-lung tissues of patients with COPD.
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More detailed descriptions and figures characterising gene expression patterns, as well as more detailed references to the Drosophila literature, are provided in Appendix I below.
At the time of the Gnettic application, this approach was organised around classical laboratory-based model organisms, i.e. organisms with well-characterised gene expression patterns and large research networks around them, for instance the plant Arabidopsis thaliana and the nematode Caenorhabditis elegans, (Maher [2009], 695; Ankeny and Leonelli [2011], 316).
In this section, we present and justify a new type of linear model for characterising gene expression.
Many authors used transcriptomics to characterise gene expression changes in response to diapause.
Molecular technologies enable us to characterise the gene expression patterns that underlie these changes.
Hierarchical gene clustering was performed with dCHIP to characterise the gene expression patterns during CIA.
In our study, we employed a combined approach of a two-step ACP-based PCR and real-time reverse transcription PCR to characterise the gene expression patterns for early and advanced stage sporadic colorectal adenocarcinomas.
We intended to investigate whether different morphological breast cancer subtypes are characterised by distinct gene expression patterns.
We characterised two distinctive gene expression patterns to aid in the stratification of primary colorectal neoplasms among Malaysian patients with CRC.
In the present study, a cDNA clone, GhWRKY15, encoding a putative IId WRKY gene, was isolated and characterised, and the gene expression patterns under various biotic and abiotic stresses were investigated.
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