Under these circumstances, the technology and methodology of gene transfection have become more and more important to enhance the efficacy of gene therapy for several diseases.
Methodology of gene clustering for seedling and root experiments is detailed in Fig. S3.
The general framework and methodology of gene set enrichment analysis approaches have been thoroughly analyzed and discussed.
US news articles were least likely to discuss the genetic cause of retinopathies and were most inaccurate in their depiction of the purpose and methodology of gene transfer.
The presented methodology of gene network inference combined with spatial pattern prediction provides an additional layer of validation to elucidate the regulatory circuits controlling the spatial-temporal dynamics in embryonic development.
We follow the above approaches in general, but several essentials are specific to our methodology: Regulation of gene expression is analysed separately for each conserved eigensystem.
Further studies have focused on the methodology issues of gene set enrichment analysis, such as evaluating the power of different statistical models [ 6, 16], generating null distributions of gene set scores [ 17, 18], and overlapping of gene sets [ 19- 21].
Among these papers 152 (51.9%) concentrated on the presentation of new methodologies for gene expression data analysis, and 141 (48.1%) papers mainly contributed application studies, e.g. discoveries directly relevant to molecular biology and clinical studies.
Our approach provides an alternative to the current methodology of identifying gene expression markers for cancer prognosis and drug responses using the whole genome gene expression data.
