Mar 13, 2012 · As the fold change level increases to that of ≥2, the number of genes significantly decreases. This suggests that biologically, less genes ...
Mar 13, 2012 · Arbitrary fold change (FC) cut-offs of >2 and significance p-values of <0.02 lead data collection to look only at genes which vary wildly amongst other genes.
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Mar 13, 2012 · Fold change and p-value cutoffs significantly alter microarray interpretations ... fold change threshold may alter the biological interpretation ...
Fold change and p-value cutoffs significantly alter microarray interpretations. Authors. Dalman, Mark R; Deeter, Anthony; Nimishakavi, Gayathri; Duan, Zhong ...
Oct 11, 2017 · Fold change and p-value cutoffs significantly alter microarray interpretations. BMC Bioinformatics. 2012;13(Suppl 2):S11. Article PubMed ...
Aug 18, 2019 · We should use fold change cutoff if you want to perform pathway enrichment. You can try GSEA analysis which take all gene expression data(no FC cutoff).
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Testing significance relative to a fold-change threshold is a TREAT
www.ncbi.nlm.nih.gov › PMC2654802
However, fold-change cutoffs do not take variability into account or guarantee reproducibility, so it soon become popular to use traditional statistical tests ...
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Jun 1, 2021 · Genes with large fold changes may not be statistically significant, and vice versa. Adjusted p-values or false discovery rates are often used ...
Fold change and p-value cutoffs significantly alter microarray interpretations. BMC Bioinforma, 13 (Suppl 2(Suppl 2) (2012), p. S11. Crossref View in Scopus ...
Jul 21, 2017 · A log-fold change threshold doesn't tell you much about the error rate, as it doesn't account for the variability of the expression values. ...
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