Results 71 to 80 of about 557,537 (198)
Efficient Hybrid-Robust Approach for Cancer Biomarker Discovery Using Omics Data
IEEE AccessDNA Microarray datasets, also known as “omics” data, are important for the diagnosis of numerous diseases, including cancer and tumors.
Karima Sid +3 more
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Nonlinear Dimension Reduction for Microarray Data [PDF]
, 2007 [Biomedical ...
Leblond, Frédéric +3 more
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Genetics Selection Evolution, 2004 The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e.
Goddard Mike E, Meuwissen Theo HE
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A comparative study of different strategies of batch effect removal in microarray data: a case study of three datasets [PDF]
, 2013 Batch effects refer to the systematic non-biological variability that is introduced by experimental design and sample processing in microarray experiments.
Ding, Fei
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Modeling genome‐wide replication kinetics reveals a mechanism for regulation of replication timing
Molecular Systems Biology, 2010 Microarrays are powerful tools to probe genome‐wide replication kinetics. The rich data sets that result contain more information than has been extracted by current methods of analysis.
Scott Cheng‐Hsin Yang +2 more
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IEEE Journal of Translational Engineering in Health and Medicine, 2014 Microarrays have now gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of results to novel algorithms for analyzing ...
Debasis Chakraborty, Ujjwal Maulik
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, 2014 The accurate quantification of gene expression levels is crucial for transcriptome study. Microarray platforms are commonly used for simultaneously interrogating thousands of genes in the past decade, and recently RNA-Seq has emerged as a promising ...
Kuczek, Thomas, Sun, Zhaonan, Zhu, Yu
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Database designs for microarray data [PDF]
The Pharmacogenomics Journal, 2001 Gene expression microarrays are an essential technology for the emerging discipline of pharmacogenomics, and the ways in which expression data are represented in computers have important implications for the analysis and communication of this new form of biological information.
openaire +2 more sources
Towards data grids for microarray expression profiles [PDF]
, 2006 The UK DTI funded Biomedical Research Informatics Delivered by Grid Enabled Services (BRIDGES) project developed a Grid infrastructure through which research into the genetic causes of hypertension could be supported by scientists within the large ...
Bayliss, C., Sinnott, R.O.
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, 2006 A common practice in microarray analysis is to transform the microarray raw data (light intensity) by a logarithmic transformation, and the justification for this transformation is to make the distribution more symmetric and Gaussian-like.
Li, Wentian +2 more
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