MicroArray Data Simulator For Improved Selection of Differentially Expressed Genes
نویسندگان
چکیده
منابع مشابه
Raking and Selection of Differentially Expressed Genes from Microarray Data
This paper presents adaptive algorithms for ranking and selecting differentially expressed genes from microarray data. A ranking method originally proposed in [1] is adapted and supplemented with Hausdorff distancebased ranking method to improve the performance of the ranking algorithm. A weighted fusion scheme is developed to fuse the ‘mean’ and the Hausdorff distance-based ranking methods to ...
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MOTIVATION Gene expression experiments provide a fast and systematic way to identify disease markers relevant to clinical care. In this study, we address the problem of robust identification of differentially expressed genes from microarray data. Differentially expressed genes, or discriminator genes, are genes with significantly different expression in two user-defined groups of microarray exp...
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Microarray is a recently developed functional genomic technology that has powerful applications in a wide array of biological research areas, including the medical sciences, agriculture, biotechnology and environmental studies. One of the important problems in the analysis of microarray data is the identification of differentially expressed genes. Commonly used approaches for identifying differ...
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MOTIVATION Microarray technology has become a powerful research tool in many fields of study; however, the cost of microarrays often results in the use of a low number of replicates (k). Under circumstances where k is low, it becomes difficult to perform standard statistical tests to extract the most biologically significant experimental results. Other more advanced statistical tests have been ...
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ژورنال
عنوان ژورنال: Cancer Biology & Therapy
سال: 2003
ISSN: 1538-4047,1555-8576
DOI: 10.4161/cbt.2.4.431