Sentence examples for correlation coefficient cutoff from inspiring English sources
To identify transcripts and corresponding proteins with significantly correlated expression profiles a correlation coefficient cutoff of 0.455 was applied, based on the null hypothesis that the mean correlation between given RNA species and proteins with different Ensembl IDs is 0, and applying a t-score threshold of 2.08 (corresponding to the 95% confidence interval).
Simultaneous gene expression profiling by using the same cDNA arrays for all samples showed that 47% of the amplified genes correlate with gene expression (using a correlation coefficient cutoff 0.5; data not shown).
Nerve-expressed genes that were correlated with the centroids based on a Pearson correlation coefficient cutoff of 0.8 were identified as the final coexpressed IRGCs.
Pearson correlation coefficient cutoff determination.
Surprisingly, 68.4% (80) of miRNAs in this group did not have any direct targets identified based on a correlation coefficient cutoff value of −0.9.
This "soft intersection" method renders it possible to avoid a sharp correlation coefficient cutoff and makes the robustness of a particular correlation dependent on all compared conditions and not on each one, separately.
In addition, however, the correlation coefficients-based assignment of tumors in the initial publication Sorlie et al. [17] generated a large number of patients (109 patients from 295 patients) called "NA" (not assigned) even though very low correlation coefficients cutoff values (<0.1) had been applied.
To determine the Pearson Correlation Coefficient (PCC) cutoff for finding biologically relevant co-expressed genes and networks, various approaches can be applied.
The results show that only one RP genes (AT3G04230) interacted with the 2-oxoglutarate (2OG) and Fe (II -dependent oxygenase superfamII -dependentT3G13610 with a Pearsoxygenaseation coefficient (CF) cutoff of 0.7.
To explore the putative molecular networks related to the broad spectrum BSHR in H471, LOC_Os11g37759 (the Xa39 candidate gene) was subjected to a co-expression analysis under biotic stress using the Pearson correlation coefficient (PCC) cutoff of 0.70 in the Rice Oligonucleotide Array Database (ROAD) [ 32].
In addition, the input is the identifier of target genes and the output is co-expression genes and relative correlation coefficient with the cutoff and type of coefficient users inputted above in the gene co-expression page (Fig. 3).
