genexanalysis.net
Service in analysis of microarray dataAnalysis of gene expression data: specialized in problematic data, data with low number of replicates or no replicates.
http://www.genexanalysis.net/
Analysis of gene expression data: specialized in problematic data, data with low number of replicates or no replicates.
http://www.genexanalysis.net/
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Service in analysis of microarray data | genexanalysis.net Reviews
https://genexanalysis.net
Analysis of gene expression data: specialized in problematic data, data with low number of replicates or no replicates.
genexanalysis.net
Additional information
http://www.genexanalysis.net/products.htm
Preferred format of Affymetrix data are CEL files and for Illumina report files containing average signal, detection P value, bead standard deviation and number of beads. The minimum requirement is txt, csv or Excel file with data representative of gene expression values. Data can be uploaded to our website (please, contact us. Or sent by e-mail. E-mail limit is approximately 20 MB. In preparation of manuscripts includes the following:. Deposition of data into GEO or other required database,. Some of our...
Statistical Analysis of Gene Expression Data
http://www.genexanalysis.net/about.htm
Analysis of microarray data: overview. Quality control comprises an overview of the control genes and an evaluation of various quality parameters, in particular:. Expression levels of the control genes, noise and background levels;. Frequency distributions (histograms);. Pearson and Spearman rank correlations;. Principal component analysis (PCA). Statistics of Gene Expression: Quality Control. Distribution and consistence of random variability;. Numbers and distribution of outliers;. Equalizing magnitude...
References: Novak et al., Genomics, 79, 104; etc.
http://www.genexanalysis.net/testimonials.htm
R Sladek and T. J. Hudson (2002), Characterization of variability in large-scale gene expression data. C Guilbault, J. P. Novak. P Martin, M.-L. Boghdady, Z. Saeed, M.-C. Guiot, T. J. Hudson and D. Radzioch (2006). Distinct pattern of lung gene expression in the. KO mice developing spontaneous lung disease compared with their littermate controls. And AD. Long (2001) A Bayesian Framework for the Analysis of Microarray Expression Data: Regularized t-Test and Statistical Inferences of Gene Changes,. And DW&...
Statistics of Gene Expression Assay
http://www.genexanalysis.net/new.htm
Statistics of Gene Expression Assay: Five Steps to Successful Interpretation. Over the span of some 20 years of microarray technology, a number of methods aimed at the evaluation of gene expression data have been developed and tested. Current users have on hand an assortment of standard procedures and software (e.g. dChip [14]. Quality control – verification of global quality parameters, identification of spurious signals and abnormal samples. Selection of appropriate methods and execution of analysis:.
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Service in analysis of microarray data
Service in analysis of microarray data. Offers comprehensive analysis of microarray gene expression data. Our service is specialized in assays with small number of replicates and problematic data. A typical analysis includes:. Evaluation of the effect of experimental conditions. Comprising one or more of the following:. Evaluation of statistical significance of differences in gene expression. Analyzing annotations, searching for keywords. Gene set enrichment analysis. Critical evaluation of the results.
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