Effect of pooling samples on the efficiency of comparative studies using microarrays

• Published in: Bioinformatics Vol. 21; no. 24; pp. 4378 - 4383
• Main Authors: Zhang, Shu-Dong, Gant, Timothy W.
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 15.12.2005; Oxford Publishing Limited (England)
• Subjects: Biological and medical sciences; Biological samples; Comparative studies; Computational Biology; Costs and Cost Analysis; Fundamental and applied biological sciences. Psychology; Gene Expression Profiling - economics; Gene Expression Profiling - statistics & numerical data; General aspects; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Models, Statistical; Oligonucleotide Array Sequence Analysis - economics; Oligonucleotide Array Sequence Analysis - statistics & numerical data; Sample Size; Java; Asia; Indonesia; Characterization; Design; Original document; Efficiency; Sample; Classification; DNA chip; Gene expression; Replica method; Microarray; Bioinformatics; Comparative study

Motivation: Many biomedical experiments are carried out by pooling individual biological samples. However, pooling samples can potentially hide biological variance and give false confidence concerning the data significance. In the context of microarray experiments for detecting differentially expres...