Sentence examples for multiple sample types from inspiring English sources
This typing approach appeared sufficiently robust to work on multiple sample types, including isolated strains, patient blood samples, and ticks and lice, thus negating the requirement for cultivation.
This indicates that Ribo-SPIA is readily applicable to the amplification of multiple sample types of the viruses for microarray analysis.
A standard analysis used either ANOVA for multiple sample types, or an unpaired t-test for two sample type comparisons.
Since some papers presented data from multiple sample types, multiple estimates were extracted from individual papers.
SpinDx can analyze, without any sample preparation, multiple sample types including whole blood, serum, and food.
A sorted distribution can have multiple cut-points; a cut-point can segregate one sample type from the others, or it can segregate multiple sample types from multiple sample types.
These analyses provide detailed views of ovarian cancer genomic changes and highlight the benefits of using multiple reference sample types for the evaluation of CNA-specific expression changes.
For the NRY database, we assembled multiple sample sets typed for NRY single nucleotide polymorphisms (SNPs), focusing mainly on those publications that genotyped the phylogenetic relationships with similar or greater depth as in our dataset (see Table S2 in File S3 for the list of publications included).
Nine variables were analyzed in meta-regression, including control types (autogenous and heterogeneous), gender proportion, proportion of TNM stage I samples, mean or median age (> 65 or ≤ 65), single or multiple target detection, sample types (serum or tissue), methylation detection methods (MSP, qMSP), study designs (diagnosis or non-diagnosis) and primer sets.
The fact that the DAVID pathway enrichment analysis system itself includes an algorithm for multiple sample correction effectively limits type 1 errors during identification of enriched pathways.
Here, we report a concise 33-gene signature with biological enrichment for glycosylation, which discriminates between benign tissue and prostate cancer (PCa) across multiple transcript detection platforms and sample types.
