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Nicolas Agier

dblp:15/2872 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 50% Medical and health informatics · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › medical imaging › medical image analysis
image registration
0.112007
Expression ratio evaluation in two-colour microarray experiments is significantly improved by correcting image misalignment · Bioinform. 2007
Bioinformatics and computational biology › gene expression analysis
microarray data analysis
0.112007
Expression ratio evaluation in two-colour microarray experiments is significantly improved by correcting image misalignment · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

interpolation · 0.1cross-correlation · 0.1
YearPublicationVenuePosition
2007 Expression ratio evaluation in two-colour microarray experiments is significantly improved by correcting image misalignment
abstract
MOTIVATION: Two-colour microarrays are widely used to perform transcriptome analysis. In most cases, it appears that the 'red' and 'green' images resulting from the scan of a microarray slide are slightly shifted one with respect to the other. To increase the robustness of the measurement of the fluorescent emission intensities, multiple acquisitions with the same or different PMT gains can be used. In these cases, a systematic correction of image shift is required. RESULTS: To accurately detect this shift, we first developed an approach using cross-correlation. Second, we evaluated the most appropriate interpolation method to be used to derive the registered image. Then, we quantified the effects of image shifts on spot quality, using two different quality estimators. Finally, we measured the benefits associated with a systematic image registration. In this study, we demonstrate that registering the two images prior to data extraction provides a more reliable estimate of the two colours' ratio and thus increases the accuracy of measurements of variations in gene expression. AVAILABILITY: http://bioinfome.cgm.cnrs-gif.fr/.
Thomas Tang, Nicolas François, Annie Glatigny, Nicolas Agier, Marie-Hélène Mucchielli-Giorgi, Lawrence Aggerbeck, Hervé Delacroix
Bioinform.4