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'Harshlighting' small blemishes on microarrays
- Source :
- BMC Bioinformatics, Vol 6, Iss 1, p 65 (2005), BMC Bioinformatics
- Publication Year :
- 2005
- Publisher :
- BMC, 2005.
-
Abstract
- Background Microscopists are familiar with many blemishes that fluorescence images can have due to dust and debris, glass flaws, uneven distribution of fluids or surface coatings, etc. Microarray scans show similar artefacts, which affect the analysis, particularly when one tries to detect subtle changes. However, most blemishes are hard to find by the unaided eye, particularly in high-density oligonucleotide arrays (HDONAs). Results We present a method that harnesses the statistical power provided by having several HDONAs available, which are obtained under similar conditions except for the experimental factor. This method "harshlights" blemishes and renders them evident. We find empirically that about 25% of our chips are blemished, and we analyze the impact of masking them on screening for differentially expressed genes. Conclusion Experiments attempting to assess subtle expression changes should be carefully screened for blemishes on the chips. The proposed method provides investigators with a novel robust approach to improve the sensitivity of microarray analyses. By utilizing topological information to identify and mask blemishes prior to model based analyses, the method prevents artefacts from confounding the process of background correction, normalization, and summarization.
- Subjects :
- Principal Component Analysis
Models, Statistical
Models, Genetic
Methodology Article
Gene Expression Profiling
Computational Biology
Nucleic Acid Hybridization
Reproducibility of Results
Microarray Analysis
lcsh:Computer applications to medicine. Medical informatics
Sensitivity and Specificity
Microscopy, Fluorescence
lcsh:Biology (General)
Data Interpretation, Statistical
Multivariate Analysis
Humans
Psoriasis
lcsh:R858-859.7
Computer Simulation
Artifacts
lcsh:QH301-705.5
Algorithms
Oligonucleotide Array Sequence Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 14712105
- Volume :
- 6
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Bioinformatics
- Accession number :
- edsair.pmid.dedup....13007d15f462ae77d2585a7c6d1e0859