Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer.

ABSTRACT:

Background

Due to experimental batch effects, the application of a quantitative transcriptional signature for disease diagnoses commonly requires inter-sample data normalization, which would be hardly applicable under common clinical settings. Many cancers might have qualitative differences with the non-cancer states in the gene expression pattern. Therefore, it is reasonable to explore the power of qualitative diagnostic signatures which are robust against experimental batch effects and other random factors.

Results

Firstly, using data of technical replicate samples from the MicroArray Quality Control (MAQC) project, we demonstrated that the low-throughput PCR-based technologies also exist large measurement variations for gene expression even when the samples were measured

SUBMITTER: Guan Q 

PROVIDER: S-EPMC5789529 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature