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| Description
| - Nedávno byla popsána řada metod pro analýzu dat získaných z microarrays, ale zároveň bylo publikováno jen málo studií srovnávajících jejich účinnost. Pomocí tzv. spike-in experimentů je možné charakterizovat analyzovaná data a takto umožnit porovnání různých metod analýzy. Výsledky: Spike-in experiment používající osm vlastnoručně připravených arrays byl využit k vyhodnocení zavedených a nových metod filtrace, úpravy pozadí, skenování, channel adjustment, a censoring. S-plus EDMA poskytující charakterizaci analyzovaných cDNA-microarray dat získaný z spike-in experimentů byl vyvinut a použit pro evaluaci 252 normalizačních metod. Tyto metody poskytly vyšší citlivost než běžně používané popstupy. Závěr: Použití spike-in experimentů je vysoce účinný přístup pro evaluaci microarray preprocessing procedur. Analyzovaná data jsou charakterizována vlastnostmi získaných log-poměrů a schopností analýzy detekovat rozdílně exprimované geny. (cs)
- Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-called spike-in experiments, it is possible to characterize the analyzed data and thereby enable comparisons of different analysis methods. RESULTS: A spike-in experiment using eight in-house produced arrays was used to evaluate established and novel methods for filtration, background adjustment, scanning, channel adjustment, and censoring. The S-plus package EDMA, a stand-alone tool providing characterization of analyzed cDNA-microarray data obtained from spike-in experiments, was developed and used to evaluate 252 normalization methods. For all analyses, the sensitivities at low false positive rates were observed together with estimates of the overall bias and the standard deviation. In general, there was a trade-off between the ability of the analyses to identify differentially expressed genes (i.e. the analyses' sensitivities) and
- Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-called spike-in experiments, it is possible to characterize the analyzed data and thereby enable comparisons of different analysis methods. RESULTS: A spike-in experiment using eight in-house produced arrays was used to evaluate established and novel methods for filtration, background adjustment, scanning, channel adjustment, and censoring. The S-plus package EDMA, a stand-alone tool providing characterization of analyzed cDNA-microarray data obtained from spike-in experiments, was developed and used to evaluate 252 normalization methods. For all analyses, the sensitivities at low false positive rates were observed together with estimates of the overall bias and the standard deviation. In general, there was a trade-off between the ability of the analyses to identify differentially expressed genes (i.e. the analyses' sensitivities) and (en)
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| Title
| - Evaluation of microarray data normalization procedures using spike-in experiments
- Evaluation of microarray data normalization procedures using spike-in experiments (en)
- Vyhodnocení normalizační postupů pro analýzu dat z microarrays použitím spike-in experimentů (cs)
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| skos:prefLabel
| - Evaluation of microarray data normalization procedures using spike-in experiments
- Evaluation of microarray data normalization procedures using spike-in experiments (en)
- Vyhodnocení normalizační postupů pro analýzu dat z microarrays použitím spike-in experimentů (cs)
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| skos:notation
| - RIV/60162694:G44__/06:00001461!RIV07-MO0-G44_____
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| http://linked.open.../vavai/riv/strany
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/60162694:G44__/06:00001461
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - bioinformatics; microarrays; normalization procedures (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
| - GB - Spojené království Velké Británie a Severního Irska
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Noppa, Laila
- Sjostedt, Anders
- Hartmanová, Blanka
- Andersson, Henrik
- Landfors, Mattias
- Naslund, Linda
- Ryden, Patrik
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| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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| http://localhost/t...ganizacniJednotka
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