A note on oligonucleotide expression values not being normally distributed

Biostatistics

Volumn 10, Issue 3, 2009, Pages 446-450

  Hardin, Johanna ^a   Wilson, Jason ^b  

^a POMONA COLLEGE   (United States)

^b BIOLA UNIVERSITY   (United States)

Author keywords

Affymetrix; Distributions; Microarray data; Nonnormality

Indexed keywords

ARTICLE; BIOMETRY; DNA MICROARRAY; STATISTICAL ANALYSIS; STATISTICS;

BIOMETRY; DATA INTERPRETATION, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 70149109457     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxp003     Document Type: Article

References (13)

1. AFFYMETRIX (2002). Statistical Algorithms Description Document. Santa Clara, CA: Affymetrix, Inc
2. AFFYMETRIX (2005). Guide to probe logarithmic intensity error (PLIER) estimation. Technical Report. Santa Clara, CA: Affymetrix, Inc
3. GILES, P. AND KIPLING, D. (2003). Normality of oligonucleotide microarray data and implications for parametric statistical analyses. Bioinformatics 19, 2254-2262
4. HARDIN, J., MITANI, A., HICKS, L. AND VANKOTEN, B. (2007). A robust measure of correlation between two genes on a microarray. BMC Bioinformatics 8, 220
5. HOGG, R., FISHER, D. AND RANDLES, R. (1975). A two-sample adaptive distribution-free test. Journal of the American Statistical Association 70, 656-661
6. IRIZARRY, R., HOBBS, B., COLLIN, F., BEAZER-BARCLAY, Y., ANTONELLIS, K., SCHERF, U. AND SPEED, T. (2003). Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4, 249-264
7. KLEBANOV, L. AND YAKOVLEV, A. (2007). How high is the level of technical noise in microarray data? Biology Direct 2, 1-6
8. KOONIN, E. V. (2007). Review 3: how high is the level of technical noise in microarray data? Biology Direct 2, 8-9
9. LI, C. AND WONG, W. (2001). Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application. Genome Biology 2, research 0032
10. MAQC CONSORTIUM (2006). The microarray quality control (MAQC) project shows inter-and intraplatform repro-ducibility of gene expression measurements. Nature Biotechnology 24, 1151-1161
11. MUSHEGIAN, A. (2007). Review 1: how high is the level of technical noise in microarray data? Biology Direct 2, 6-7
12. WANG, Y., MIAO, Z., POMMIER, Y., KAWASAKI, E. AND PLAYER, A. (2007). Characterization of mismatch and high-signal intensity probes associated with affymetrix genechips. Bioinformatics 23, 2088-2095
13. WU, Z., IRIZARRY, R., GENTLEMAN, R., MARTINEZ-MURILLO, F. AND SPENCER, F. (2004). A model-based background adjustment for oligonucleotide expression arrays. Journal of the American Statistical Society 99, 909-917