MGED

(redirected from Microarray Gene Expression Data)
AcronymDefinition
MGEDMicroarray Gene Expression Data
MGEDMicroarray and Gene Expression Data Society
MGEDMultidevice Graphics Editor
References in periodicals archive ?
Neurodevelopmental microarray gene expression data are used to identify genes that are expressed in neuronal disorders, at its initial stage of progress [67].
Sharma, "Improved direct LDA and its application to DNA microarray gene expression data," Pattern Recognition Letters, vol.
Scherer et al., "A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data," Pharmacogenomics Journal, vol.
Dopazo, "Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data," in Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing (NNSP '02), pp.
ArrayExpress--a public repository for microarray gene expression data at the EBh Nucleic Acids Res 31:66-71.
Hu, "Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data," BMC Bioinformatics, vol.
Lin et al., "Knowledge-based analysis of microarray gene expression data by using support vector machines," Proceedings of the National Academy of Sciences of the United States of America, vol.
The NCT collaborates with the EMBL-EBI European Bioinformatics Institute, International Life Sciences Institute, Microarray Gene Expression Data Society, and National Center for Toxicological Research Center for Toxicoinformatics on the development of data exchange standards for toxicology and toxicogenomics.
Li, "Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data," Bioinformatics, vol.
Similarly, we, the members of the Microarray Gene Expression Data (MGED) Society (http://www.mged.
Other groups are promoting the use of specific data formats such as the MIAME (Minimum Information About a Microarray Experiment) standards for content, as well as the accompanying MAGE (MicroArray and Gene Expression) data format standards developed by the Microarray Gene Expression Data Society.
Continued probing of sequence validation based on cross-platform analyses should help improve the overall quality of microarray gene expression data. Table 1.