Sentence examples for minimum expression change from inspiring English sources

A t-test using the Benjamini-Hochberg multiple hypothesis correction (p < 0.01) and a 2-fold minimum expression change was used to identify 140 genes that were differentially expressed between cervical cancer and normal cervix.

Therefore, only genes with a minimum expression change of log2 fc ≥ 0.75 during time-course were considered.

Default parameters were used, except for the minimum expression change set to 0.5 (based on the difference from 0).

Pathway analysis of differentially expressed genes was performed using IPA (Ingenuity Systems), using a P value cutoff of <0.05 on differential expression and a log fold-change of at least 0.263, corresponding to a minimum expression change of 30% between young and old samples.

STEM parameters differing from default values were the following: "No normalization/add 0"; "Filtering Minimum absolute expression change = 0,20"; "Cluster profile Minimum correlation = 0,75".

Transcripts with a minimum fold expression change of two were selected as differentially expressed genes.

For this clustering, those profiles that did not show a minimum absolute expression change of 4 log-fold (based on the difference between the minimum and maximum) were filtered out.

For GO analysis of various expression profiles, we applied the annotations of "Biological Process" (BP) domain and the minimum expression fold change (in log2 scale) was set to different values from zero.

From the 42,430 total genes we selected for time-series analysis only those with a minimum absolute expression change between time-points of 4-fold resulting in a total of 2,095 genes.

For the DREM 2.0 analysis the following options were not set to default values: (i) genes in the time course were discarded if "Minimum Absolute Expression Change" was smaller than 0.5, (ii) "incorporate expression in regulator data" was activated for transcription factors with "Expression scaling weight" set to 1.

As shown, the corrected p-values range from the lowest for profile 44 to the highest for profile 2. Table  2 summarizes the number of significantly deregulated transcripts across all time-points with respect to the two criteria of "Maximum Number of Missing Values" and "Minimum Absolute Expression Change (from Zero)".