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  • 1
    Keywords: CANCER ; EXPRESSION ; COMBINATION ; LUNG ; MODEL ; MODELS ; TOXICITY ; CLASSIFICATION ; liver ; GENE ; GENE-EXPRESSION ; microarray ; validation ; QUALITY ; BREAST ; breast cancer ; BREAST-CANCER ; PERFORMANCE ; gene expression ; MICROARRAY DATA ; HUMANS ; microarrays ; PREDICTION ; PROJECT ; FOLLICULAR LYMPHOMA ; MULTIPLE-MYELOMA ; rodent ; neuroblastoma ; development ; methods ; GENE-EXPRESSION DATA ; DNA MICROARRAYS ; rodents ; RECOMMENDATIONS ; EXPRESSION DATA ; CONTROL MAQC PROJECT ; PUBLISHED MICROARRAY ; RISK-STRATIFICATION
    Abstract: Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, 〉30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis
    Type of Publication: Journal article published
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  • 2
    ISSN: 1573-4951
    Keywords: alignment ; computer program ; GPCR ; HTML ; integral membrane proteins ; mutagenesis ; tool ; VRML
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract G Protein-Coupled Receptors (GPCRs) constitute a superfamily of receptors that forms an important therapeutic target. The number of known GPCR sequences and related information increases rapidly. For these reasons, we are developing the Viseur program to integrate the available information related to GPCRs. The Viseur program allows one to interactively visualise and/or modify the sequences, transmembrane areas, alignments, models and results of mutagenesis experiments in an integrated environment. This integration increases the ease of modelling GPCRs: visualisation and manipulation improvements enable easier databank interrogation and interpretation. Unique program features include: (i) automatic construction of ‘Snake-like’ diagrams or hyperlinked GPCR molecular models to HTML or VRML and (ii) automatic access to a mutagenesis data server through the Internet. The novel algorithms or methods involved are presented, followed by the overall complementary features of the program. Finally, we present two applications of the program: (i) an automatic construction of GPCR snake-like diagrams for the GPCRDB WWW server, and (ii) a preparation of the modelling of the 5HT receptor subtypes. The interest of the direct access to mutagenesis results through an alignment and a molecular model are discussed. The Viseur program, which runs on SGI workstations, is freely available and can be used for preparing the modelling of integral membrane proteins or as an alignment editor tool.
    Type of Medium: Electronic Resource
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