Microarray segmentation methods significantly influence data precision. - Wikidata - wikimedia - TriplyDB

Microarray segmentation methods significantly influence data precision.

Microarray segmentation methods significantly influence data precision.

http://www.wikidata.org/entity/Q33199754

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Microarrays and breast cancer clinical studies: forgetting what we have not yet learnt Correction of spatial bias in oligonucleotide array data.Image analysis and data normalization procedures are crucial for microarray analyses Modulating microtubule stability enhances the cytotoxic response of cancer cells to Paclitaxel Transgenic increases in seed oil content are associated with the differential expression of novel Brassica-specific transcripts.A glance at DNA microarray technology and applications.Absence of p300 induces cellular phenotypic changes characteristic of epithelial to mesenchyme transition.Improving gene quantification by adjustable spot-image restoration.Donuts, scratches and blanks: robust model-based segmentation of microarray images.Spot intensity ratio statistics in two-channel microarray experiments.Defining best practice for microarray analyses in nutrigenomic studies.

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P2860

Microarray segmentation methods significantly influence data precision.

http://www.wikidata.org/entity/Q33199754

description

2004 nî lūn-bûn

@nan

2004 թուականի Մարտին հրատարակուած գիտական յօդուած

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2004 թվականի մարտին հրատարակված գիտական հոդված

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2004年の論文

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2004年論文

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2004年論文

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2004年論文

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2004年論文

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2004年論文

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2004年论文

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name

Microarray segmentation methods significantly influence data precision.

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Microarray segmentation methods significantly influence data precision.

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Microarray segmentation methods significantly influence data precision.

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Microarray segmentation methods significantly influence data precision.

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Microarray segmentation methods significantly influence data precision.

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Microarray segmentation methods significantly influence data precision.

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Nucleic Acids Research

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Microarray segmentation methods significantly influence data precision.

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Ahmed Ashour Ahmed

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Maria Vias

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N Gopalakrishna Iyer

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P2860

Fluorescent labelling of cRNA for microarray applications

Obtaining reliable information from minute amounts of RNA using cDNA microarrays

Statistical methods for assessing agreement between two methods of clinical measurement

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer

Image metrics in the statistical analysis of DNA microarray data.

Distinctive gene expression patterns in human mammary epithelial cells and breast cancers.

Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations

Design issues for cDNA microarray experiments.

Questions and answers on design of dual-label microarrays for identifying differentially expressed genes.

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e50

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10.1093/NAR/GNH047

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James D Brenton

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8672108

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15028803

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