In order for inaccurate expression data to explain this result, the expression data in those three bins would not only have to be noisy – they would have to be negatively correlated with the true expression levels of those genes.
In order for gene expression analysis to move from bench to clinic, a limited number of optimal predictive genes must be identified for which rapid PCR can be performed, and thresholds must be chosen to categorize patients as bacterial or non-bacterial.
where { λ k } is the sequence of eigenvalues of the Laplacian Δ on M. The sequence { λ k } is known to satisfy the condition as in (1.1), but the product in (1.3) is always divergent; so, in order for the expression (1.3) to make sense, some sort of regularization procedure must be used (see, e.g., [6]).
To conclude this section let us briefly discuss some additional constraints for the parameters of our model in order for the expression (20) to be valid.
In order for gene expression profiling in blood to become a reliable and reproducible tool in large-scale investigations, a better understanding of intra- and interindividual variability comparing used methods is needed.
In order for gene expression profiling to be useful, the initiation of trials evidently needs to keep pace with the introduction of new treatments that are shown to be best practice.
Genes are retained in plastids primarily in order for their expression to be subject to this rapid and robust redox regulatory transcriptional control mechanism, whereas plastid genes also encode genetic system components, such as some ribosomal proteins and RNAs, that exist in order to support this primary, redox regulatory control of photosynthesis genes.
The order of expression for the RARγ forms is RARγ1 >> RARγ2 > RARγ3 (Supplementary Fig S7A).
= 3, 628, 800 The information needed for the order of expression is: I = log (N ) = log (10 ! ) = 21.8 bits This information is regulatory information, which is actually composed of regulatory sequences or Transcription Factor (TF) binding sites.
In the sea star, both the temporal order of expression (at least for Xlox and Cdx) and the cluster organization, typical of Chordata, seem to be conserved, while in the sea urchin, the temporal colinearity (assuming the cluster arrangement in chordates) is inverted and the cluster is broken.
