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The biological dimensions of genes are manifold.
Table 2 Post-genomic studies now consider the multiple biological dimensions of genes or groups of genes [ 10, 24].
The study of the multiple biological dimensions of genes or groups of genes has developed into an exciting research area [ 1].
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Here, we describe a new type of standardized datasets representative for the spatial and temporal dimensions of gene expression.
During development, feedback from growing populations of cells, reduces the effective dimensions of gene expression, thereby fostering terminal differentiation.
Hogenesch's atlas quickly became an important resource for molecular biologists, but he was troubled that it failed to account for an important dimension of gene expression.
Our results begin to cast some light onto an additional dimension of gene expression within chondrocytes, due to the relationship between mRNA half-life and gene expression kinetics.
Techniques such as Singular value decomposition (SVD) or Principal Component Analysis (PCA) are the most popular ones for reducing the dimension of gene data [ 289, 290].
Considering that expression breadth is another dimension of gene expression in addition to expression abundance in multicellular organism, we investigated the influence of the two expression parameters, EA and EB, on the correlations with the rates of evolution.
To determine the locations of the end-members, we specify an extrinsic dimension (number of genes) g, and an intrinsic dimension k (requiring k + 1 components).
By employing multiple dimensions of interrogation, genes exhibiting MCD are captured.
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