Sentence examples for method with normalized from inspiring English sources

Cluster analysis were performed in JMP 7.0.1, using the Complete clustering method with normalized RT-qPCR data.

(E ) Considering multiple membrane parameters of the individual cells (resting membrane potential, membrane time constant, whole cell capacitance, input resistance, threshold, peak d V/ d t, maximal firing rate) for hierarchical cluster analysis (Ward method with normalized values) were not sufficient to predict the functional identity of the cells.

The fragmentation was carried out using higher energy collision dissociation as the activation method with 40%% normalized collision energy.

Relative expression levels were calculated using the ΔCt/ΔCt method, with expression normalized to 18S or actin RNA.

All calculations were performed using the ΔΔCT method with TaqMan assays normalized to eukaryotic 18 s rRNA and SYBR assays normalized to GAPDH with all biological replicate values representing the mean of technical triplicates.

The relative quantification of gene expression was analyzed with 2−ΔΔCT method, normalized with β-actin expression level.

The results were analyzed using the comparative threshold cycle method and normalized with HPRT as an endogenous reference, and reported as relative values (ΔΔCT) to those of control.

The results were analyzed using the comparative threshold cycle method and normalized with GAPDH as an endogenous reference, and reported as relative values (ΔΔCT) to those of control.

After scanning, background correction was done to reduce the effect of background noise, followed by normalization with the Lowess method, and normalized array data were fitted into linear models to detect differential expression over different stages.

Besides the number of features, the parameters of the kernel method (parameter γ for LS-SVM with normalized linear kernel) also need to be selected.

These algorithms are associated with the method of normalized functions, are based on a combination of formal and heuristic procedures, and allow one to obtain quasi-optimal solutions after a small number of steps, thus overcoming the computational complexity posed the NP-completeness of discrete optimization problems.