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Clustering algorithms generated two informative expressed gene clusters that were selectively associated with cellular sensitivity and resistance to the anti-viral and anti-proliferative action of IFN.
'Precision' and 'Neutral' all informative expressed genes predicted as MAE using corresponding settings of the DT2F classifier; 'All' all informative expressed genes from GM12878 cells; 'RPKM matched' predicted biallelic genes, matched by the expression level to the predicted MAE genes (shown are the mean and standard deviation for 10 permuted sets of genes).
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They explained why they thought one piece of evidence was more weighty than another, debated which pieces of information were actually informative, and expressed frustration when they thought two answers might be equally good or when the answer they thought was best was not among the choices.
We also evaluated the influence of conjoint marker effects on the incidence of MetS by including pairwise interactions between informative markers expressed as continuous variables.
Asked on Thursday if he would accept the challenge of Mr. Paladino to debate again, Mr. Cuomo gave a lengthy answer praising the debate on Monday as being mostly informative and expressing his desire to focus on other things before Election Day.
Thus, it may prove both technically feasible and informative to express heterologous, multi-molecular signaling circuit ensembles in the context of the yeast cell as a proxy for their functions in the much more complex milieu of the multicellular eukaryotic system.
In such situation, instead of averaging the size for the whole treatment group it is more informative to express the result by listing the percentage of tumours that were significantly growth-inhibited.
Thanks to an almost entirely sequenced genome and high conservation of gene function compared with humans, the zebrafish has proved highly informative to express and study human disease-related gene variants, providing novel insights into human cardiovascular disease mechanisms, and highlighting the suitability of the zebrafish as an excellent model to study human cardiovascular diseases.
We believe this RFA method captures more informative and differently expressed genes than other methods.
RFA utilizes supervised learning to obtain the best classification, and indentifies the subsequent gene recursively based on the similarity measures between the chosen gene set and the candidates to minimize the redundancy of the genes within the selected subset; hence it obtains more informative and differently expressed genes.
If an informative prior (which expresses specific, definite information about tag quantity) is not postulated or cannot be collected, we use a uniform prior distribution (that is, a constant function).
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