Sentence examples for class significance from inspiring English sources

To identify transcripts that were specifically enriched by association with PUM1 and PUM2, we performed two class Significance Analysis of Microarrays (SAM) on median centered arrays [45].

They were also shorter in response to proper (717 ms) than common (752 ms) nouns, as shown by lexical class significance (F 1,13) = 47.19, p<0.01).

To perform microarray analysis a two unpaired class Significance Analysis of Microarray (SAM) test was carried out on normalized data.

A two-unpaired class Significance Analysis of Microarray (SAM) test was carried out on normalized data, enforcing a False Discovery Rate (FDR) of 3%.

We performed an unpaired two class Significance Analysis of Microarrays (SAM; Tusher et al, 2001) with class no. 1 including immune system-related tissues and white blood cells and class no. 2 including all other tissues.

A two-unpaired class Significance Analysis of Microarray (SAM) test was conducted on normalized data between individuals from the Tiber (N = 8 males) and Bolsena (N = 7 males) sites.

The interacting drug classes, significance, reliability, and clinical management of the interactions were recorded in a database.

Differentially expressed genes were then identified using one-class Significance Analysis of Microarray (SAM) at a 5% false discovery rate (FDR) using TIGR MeV [47], [48].

In a two-class Significance Analysis of Microarrays (SAM) analysis [22], 2,088 significantly differentially expressed genes were identified using a false discovery rate (FDR) of less than 1%, hereafter termed the "c-Myb gene signature" (Table S2).

Two-class Significance Analysis of Microarrays (SAM) [49] was used to identify genes that were differentially expressed in CLM compared to primary CRC and normal liver (a potential contaminant of CLM), with statistical significance assessed by a false discovery rate (FDR).

These filtered genes were analyzed by the multi-class Significance Analysis of Microarrays (SAM) algorithm [23] to select a set of ∼4000 genes that were consistently differently expressed between skin from AE patients and control individuals, with a false discovery rate less than 0.26% (Supplementary Table S1).