Sentence examples for standardised expression from inspiring English sources

The standardised expression levels were subsequently summed for each patient to provide an IFN type I expression score.

The values of x i can be interpreted as standardised expression changes of component i between stimulated and non-stimulated (control) state, which serves as a reference point.

We predicted the group of the case left out from the training set by using the discriminant scores, which we obtained by multiplying the discriminant coefficients from the lda function and the standardised expression values of each probeset.

The default clustering algorithm of genes was as follows: the distance between two genes is defined as 1 – r, where r is the Pearson correlation coefficient between the standardised expression values of the two genes across the samples used.

But it also aims at going beyond our individual practice to set out the sources and grounds of the VinoLingua scientific framework and to examine the ideas about language and learning on which our approach is based: the importance of working with real language corpora and the use of standardised expressions and off-the-peg chunks of varying degrees of complexity for LSP teaching and learning.

The discounted return of a selection path is obtained as the monetary genetic gain weighted by its corresponding Standardised Discounted Expression (SDE) value.

These counts were normalised by library and locus size to give the standardised measure of expression 'reads per kilobase per million mapped reads' (RPKM).

We have applied the criteria used for scoring of ERBB2 immunohistochemistry in breast cancer to obtain standardised assessment of expression and hence a more rational prediction of the proportion of bladder cancer patients who may benefit from ERBB2-targeted therapy.

Expression data were transformed into standardised normal distributions (that is, expression data from each probe were transformed into new variables with mean = 0 and standard deviation = 1 by subtracting the mean to each value and dividing the result by the standard deviation) to avoid differences in scale when performing comparisons between studies.

Under the assumption that these variables are measured with the same degree of measurement error, their expression in standardised form allows direct comparisons of the magnitude of association between measures and clustered metabolic risk.

Meanwhile, large multi-centre studies — e.g. the Microarray Innovations in LEukaemia (MILE) study 10 — prepare for a standardised introduction of gene expression profiling in diagnostic algorithms, aiming to translate this novel methodology into clinical routine for the benefit of patients with the complex disorders.