Journal ArticleDOI
Microarray data normalization and transformation
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TLDR
This review focuses on the much more mundane but indispensable tasks of 'normalizing' data from individual hybridizations to make meaningful comparisons of expression levels, and of 'transforming' them to select genes for further analysis and data mining.Abstract:
Underlying every microarray experiment is an experimental question that one would like to address. Finding a useful and satisfactory answer relies on careful experimental design and the use of a variety of data-mining tools to explore the relationships between genes or reveal patterns of expression. While other sections of this issue deal with these lofty issues, this review focuses on the much more mundane but indispensable tasks of 'normalizing' data from individual hybridizations to make meaningful comparisons of expression levels, and of 'transforming' them to select genes for further analysis and data mining.read more
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Enhanced miR-210 expression promotes the pathogenesis of endometriosis through activation of signal transducer and activator of transcription 3
Mamiko Okamoto,Kaei Nasu,Wakana Abe,Yoko Aoyagi,Yukie Kawano,Kentaro Kai,Masatsugu Moriyama,Hisashi Narahara +7 more
TL;DR: The present findings indicate that miR-210 induces NESCs to differentiate into the endometriosis-specific cellular dysfunctions through epigenetic mechanisms and the data indicate that STAT3 inhibitors may be promising candidates for the treatment of endometRIosis.
Posted Content
Genetic Regulation of Fluxes: Iron Homeostasis of Escherichia coli
TL;DR: In this article, the authors built a mathematical model of the network that controls iron uptake and usage in the bacterium Escherichia coli to explore the dynamics of iron flow and discussed the possible roles of the small RNA RyhB and the Fe-S cluster assembly systems in the optimal redistribution of iron flows.
Journal ArticleDOI
Proteome chips for whole-organism assays.
Li A. Kung,Michael Snyder +1 more
TL;DR: Some of the recent advances that have been made at the '-omic' level using protein microarrays using protein-chip technology are explored.
Journal ArticleDOI
Reprogramming of monocytes by GM-CSF contributes to regulatory immune functions during intestinal inflammation
Jan Däbritz,Toni Weinhage,Georg Varga,Timo Wirth,Karoline Walscheid,Anne Brockhausen,David Schwarzmaier,Markus Brückner,Matthias Ross,Dominik Bettenworth,Johannes Roth,Jan Ehrchen,Dirk Foell +12 more
TL;DR: Beneficial effects of GM-CSF in Crohn’s disease may possibly be mediated through reprogramming of monocytes to simultaneously improved bacterial clearance and induction of wound healing, as well as regulation of adaptive immunity to limit excessive inflammation.
Journal ArticleDOI
Identification of genes related to mechanical stress in human periodontal ligament cells using microarray analysis
TL;DR: The microarray is the first to show the gene profile in PDL cells caused by mechanical stress; however, further studies to clarify the physiological function of these molecules in PDl cells are required.
References
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Journal ArticleDOI
Cluster analysis and display of genome-wide expression patterns
TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Book
Data Reduction and Error Analysis for the Physical Sciences
TL;DR: In this paper, Monte Carlo techniques are used to fit dependent and independent variables least squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI
Data Reduction and Error Analysis for the Physical Sciences.
TL;DR: Numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal and Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-square fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI
Robust Locally Weighted Regression and Smoothing Scatterplots
TL;DR: Robust locally weighted regression as discussed by the authors is a method for smoothing a scatterplot, in which the fitted value at z k is the value of a polynomial fit to the data using weighted least squares, where the weight for (x i, y i ) is large if x i is close to x k and small if it is not.
Book
Regression Analysis by Example
Samprit Chatterjee,B. Price +1 more
TL;DR: Simple linear regression Multiple linear regression Regression Diagnostics: Detection of Model Violations Qualitative Variables as Predictors Transformation of Variables Weighted Least Squares The Problem of Correlated Errors Analysis of Collinear Data Biased Estimation of Regression Coefficients Variable Selection Procedures Logistic Regression Appendix References as discussed by the authors