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The course of platelet count was recorded and classified as normalization in ICU (achieving a count ≥ 150,000/mm3), improvement without normalization in ICU, stability in ICU, or deterioration in ICU.
The course of platelet count was recorded and classified as normalization in ICU (achieving a count ≥ 150,000/mm), improvement without normalization in ICU, stability in ICU, or deterioration in ICU.
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RPKM, FPKM, and RSEM can be classified as read normalization-based methods.
In this paper, we proposed three SVM classifiers: the non-classified normalization classifier, classified normalization classifier, and combination classifier with the above two classifiers, as shown in Table 2.
After normalization and filtering, 13166 probes (63%) were classified as present.
Median value of reference genes was used for normalization, and miRNAs with fold change higher than 1.5 were classified as overexpressed in PCa compared to MNPT.
Automated outlines of brain areas classified as 'abnormal' were generated using Seghier et al. 's (2008) modified segmentation-normalization procedure.
After normalization, the genes in the whole dataset (167 strains in total) were classified as present, absent or divergent using 100% EPP cutoff using GACK algorithm [45].
After MLPA data normalization, correction and automated calling, 4238/4300 (98.6%) of the interrogated markers were classified as positive or negative.
The HPRT and H-MBS transcriptional expression levels, classified as the two most stable genes according to GeNorm analysis, were used to calculate the GeNorm Normalization Factor used as the endogenous control for the qRT-PCR.
This sample from the pathologist was classified as homogeneous cancerous tissue and was found to have an approximately threefold higher pAktser473 signal after normalization against the total Akt staining.
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CEO of Professional Science Editing for Scientists @ prosciediting.com