Rank-based algorithms for analysis of microarrays

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4266, Issue , 2001, Pages 56-67

  Liu, W M ^a   Mei, R ^a   Bartell, D M ^a   Di, X ^a   Webster, T A ^a   Ryder, T ^a  

^a Thermo Fisher Scientific   (United States)

Author keywords

Algorithm; Gene expression; Microarray; Nonparametric method; Rank

Indexed keywords

CELLS; DNA; ERROR ANALYSIS; GENES; PROBABILITY DISTRIBUTIONS;

DNA MICROARRAYS; GENE EXPRESSION ARRAYS; OLIGONUCLEOTIDE MICROARRAYS;

ALGORITHMS;

EID: 0034862661     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.428000     Document Type: Conference Paper

References (12)

1. Multiplexed biochemical assays with biological chips
2. Expression monitoring by hybridization to high-density oligonucleotide arrays
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4. Massive parallel genomics
5. Monitoring gene expression using DNA microarrays
6. Genome-wide detection of alletic imbalance using human SNPs and high-density DNA arrays
7. Individual comparisons by ranking methods
8. Ratio-based decisions and the quantitative analysis of cDNA microarray images
9. Effects of early ACE inhibition on cardiac gene expression following acute myocardial infarction
10. Rank correlation and tests of significance involving no assumptions of normality
11. The use of ranks to avoid the assumption of normality implicit in the analysis of variance