ArticleAlgorithms for molecular biology : AMB2008
"Hook"-calibration of GeneChip-microarrays: theory and algorithm.
Article in Algorithms for molecular biology : AMB, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 31 citations in OpenAlex.
- Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes.PloS one · 2018Article
- Model-Based Clustering With Data Correction For Removing Artifacts In Gene Expression Data.The annals of applied statistics · 2016Article
- Variation of RNA Quality and Quantity Are Major Sources of Batch Effects in Microarray Expression Data.Microarrays (Basel, Switzerland) · 2014Article
- Portraying the Expression Landscapes of B-CellLymphoma-Intuitive Detection of Outlier Samples and of Molecular Subtypes.Biology · 2013Article
- Physico-chemical foundations underpinning microarray and next-generation sequencing experiments.Nucleic acids research · 2013Review
- Article
- Mining SOM expression portraits: feature selection and integrating concepts of molecular function.BioData mining · 2012Article
- Motif effects in Affymetrix GeneChips seriously affect probe intensities.Nucleic acids research · 2012Article
- Estimating RNA-quality using GeneChip microarrays.BMC genomics · 2012Article
- From hybridization theory to microarray data analysis: performance evaluation.BMC bioinformatics · 2011Article
- Expression cartography of human tissues using self organizing maps.BMC bioinformatics · 2011Article
- Washing scaling of GeneChip microarray expression.BMC bioinformatics · 2010Article
- G-stack modulated probe intensities on expression arrays - sequence corrections and signal calibration.BMC bioinformatics · 2010Article
- Article
- Ranking differentially expressed genes from Affymetrix gene expression data: methods with reproducibility, sensitivity, and specificity.Algorithms for molecular biology : AMB · 2009Article
- "Hook"-calibration of GeneChip-microarrays: chip characteristics and expression measures.Algorithms for molecular biology : AMB · 2008Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
background: The improvement of microarray calibration methods is an essential prerequisite for quantitative expression analysis. This issue requires the formulation of an appropriate model describing the basic relationship between the probe intensity and the specific transcript concentration in a complex environment of competing interactions, the estimation of the magnitude these effects and their correction using the intensity information of a given chip and, finally the development of practicable algorithms which judge the quality of a particular hybridization and estimate the expression degree from the intensity values.
results: We present the so-called hook-calibration method which co-processes the log-difference (delta) and -sum (sigma) of the perfect match (PM) and mismatch (MM) probe-intensities. The MM probes are utilized as an internal reference which is subjected to the same hybridization law as the PM, however with modified characteristics. After sequence-specific affinity correction the method fits the Langmuir-adsorption model to the smoothed delta-versus-sigma plot. The geometrical dimensions of this so-called hook-curve characterize the particular hybridization in terms of simple geometric parameters which provide information about the mean non-specific background intensity, the saturation value, the mean PM/MM-sensitivity gain and the fraction of absent probes. This graphical summary spans a metrics system for expression estimates in natural units such as the mean binding constants and the occupancy of the probe spots. The method is single-chip based, i.e. it separately uses the intensities for each selected chip.
conclusion: The hook-method corrects the raw intensities for the non-specific background hybridization in a sequence-specific manner, for the potential saturation of the probe-spots with bound transcripts and for the sequence-specific binding of specific transcripts. The obtained chip characteristics in combination with the sensitivity corrected probe-intensity values provide expression estimates scaled in natural units which are given by the binding constants of the particular hybridization.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.