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Different Panels (different + panel)
Selected AbstractsGuidelines for improving the reproducibility of quantitative multiparameter immunofluorescence measurements by laser scanning cytometry on fixed cell suspensions from human solid tumorsCYTOMETRY, Issue 1 2006Stanley Shackney Abstract Background: Laser scanning Cytometry (LSC) is a versatile technology that makes it possible to perform multiple measurements on individual cells and correlate them cell by cell with other cellular features. It would be highly desirable to be able to perform reproducible, quantitative, correlated cell-based immunofluorescence studies on individual cells from human solid tumors. However, such studies can be challenging because of the presence of large numbers of cell aggregates and other confounding factors. Techniques have been developed to deal with cell aggregates in data sets collected by LSC. Experience has also been gained in addressing other key technical and methodological issues that can affect the reproducibility of such cell-based immunofluorescence measurements. Methods and results: We describe practical aspects of cell sample collection, cell fixation and staining, protocols for performing multiparameter immunofluorescence measurements by LSC, use of controls and reference samples, and approaches to data analysis that we have found useful in improving the accuracy and reproducibility of LSC data obtained in human tumor samples. We provide examples of the potential advantages of LSC in examining quantitative aspects of cell-based analysis. Improvements in the quality of cell-based multiparameter immunofluorescence measurements make it possible to extract useful information from relatively small numbers of cells. This, in turn, permits the performance of multiple multicolor panels on each tumor sample. With links among the different panels that are provided by overlapping measurements, it is possible to develop increasingly more extensive profiles of intracellular expression of multiple proteins in clinical samples of human solid tumors. Examples of such linked panels of measurements are provided. Conclusions: Advances in methodology can improve cell-based multiparameter immunofluorescence measurements on cell suspensions from human solid tumors by LSC for use in prognostic and predictive clinical applications. © 2005 Wiley-Liss, Inc. [source] Genome-wide association studies for discrete traitsGENETIC EPIDEMIOLOGY, Issue S1 2009Duncan C. Thomas Abstract Genome-wide association studies of discrete traits generally use simple methods of analysis based on ,2 tests for contingency tables or logistic regression, at least for an initial scan of the entire genome. Nevertheless, more power might be obtained by using various methods that analyze multiple markers in combination. Methods based on sliding windows, wavelets, Bayesian shrinkage, or penalized likelihood methods, among others, were explored by various participants of Genetic Analysis Workshop 16 Group 1 to combine information across multiple markers within a region, while others used Bayesian variable selection methods for genome-wide multivariate analyses of all markers simultaneously. Imputation can be used to fill in missing markers on individual subjects within a study or in a meta-analysis of studies using different panels. Although multiple imputation theoretically should give more robust tests of association, one participant contribution found little difference between results of single and multiple imputation. Careful control of population stratification is essential, and two contributions found that previously reported associations with two genes disappeared after more precise control. Other issues considered by this group included subgroup analysis, gene-gene interactions, and the use of biomarkers. Genet. Epidemiol. 33 (Suppl. 1):S8,S12, 2009. © 2009 Wiley-Liss, Inc. [source] A Comparison of 14 Jams Characterized by Conventional Profile and a Quick Original Method, the Flash ProfileJOURNAL OF FOOD SCIENCE, Issue 2 2002V. Dairou ABSTRACT: Flash Profile (FP) is a sensory descriptive method derived from Free Choice Profiling where each subject chooses and uses his/her own words to evaluate the whole product set comparatively. Two different panels were set up in order to compare the efficiency of FP with conventional profile on the same 14 products (red fruit jams). The 2 procedures produced similar information both in respect to the way the jams grouped and differed from another. However, FP proved to be faster than conventional profile but less self-explanatory from a semantic point of view. Flash profile appears to be an interesting alternative method to evaluate quickly an array of products. [source] MATCHING RESULTS OF TWO INDEPENDENT HIGHLY TRAINED SENSORY PANELS USING DIFFERENT DESCRIPTIVE ANALYSIS METHODS,JOURNAL OF SENSORY STUDIES, Issue 5 2002VARAPHA LOTONG ABSTRACT Two independent, highly trained panels separately conducted descriptive analysis of orange juices using different descriptive analysis methods and sets of samples. Lexicons were developed independently. One panel evaluated 23 orange juice products and identified and referenced 24 attributes. The other panel evaluated 17 products and identified 17 attributes for testing. Though not identical, the lexicons developed by both panels were similar overall. To compare the sensory space of the product category, Principal Component Analysis (PCA) and sensory maps were developed separately for each panel. The comparison showed that the underlying sample spaces obtained from both panels were comparable in many ways. Key flavor characteristics for the same types of orange juice products were described similarly by both panels. These data indicate that the process of using highly trained panels that define attributes and use reference standards for descriptive sensory analysis can give objective and comparable information for a product category across different panels. [source] | |||||||||||||