Design of the microarray study
Design and Analysis of Comparative Microarray Experiments
... replicate Design I becomes competi- tive for estimating the interaction ...Case Study III, the investigators were comparing small regions of the brain from new born ...
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CONCEPTS ON MICROARRAY DESIGN FOR GENOME AND TRANSCRIPTOME ANALYSES
... a study using Affymetrix arrays representing essentially all nonrepetitive sequences on human chromosomes 21 and 22 found that most binding sites for the transcriptional factors Sp1, cMyc, and p53 were located far ...
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Topics on statistical design and analysis of cDNA microarray experiment
... mixture model is the same as that of Allison et al. (2002), our method has its own merit: it can indicate the degree of variation of the estimates by giving their posterior distribution. Besides the proportion of true ...
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Thermodynamically optimal whole genome tiling microarray design and validation
... We believe tiling microarrays are useful for many gene expression studies, especially for novel and non-model species that have not been annotated yet. Actually, til- ing microarrays can help identify novel gene ...
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Enchytraeus albidus microarray: Enrichment, design, annotation and database (EnchyBASE).
... Discussion Various advantages may be pointed in regard to the genomic information gathered in the course of this study. With the development of EnchyBASE users can access the sequences present in each of the ...
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A comparative study of classification methods for microarray data analysis
... in Microarray classifi- cation. Reading through the literature of Microarray data classification, it is difficult to find consensus con- clusions on their relative ...classifying Microarray data ...
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The Design and Simulation of a Planar Microarray Dot Electrode for a Dielectrophoretic Lab-on-Chip Device
... Received: 1 October 2012 / Accepted: 24 October 2012 / Published: 1 December 2012 Dielectrophoresis (DEP) has been proven as a method of manipulating and analyzing the electrophysiological properties of bioparticles by ...
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Design and Validation of a Microarray for Detection, Hemagglutinin Subtyping, and Pathotyping of Avian Influenza Viruses
... developed microarray for the detection of influenza A virus and HA typing was comprehen- sively validated and can be implemented for routine diagnos- ...validation study presented here was successfully ...
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Modeling formamide denaturation of probe-target hybrids for improved microarray probe design in microbial diagnostics
... This study investigated the adjustment of hybridization stringency using formamide with the idea that sensitivity and specificity can be optimized during probe design if the hybridization efficiency of ...
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BABAR: an R package to simplify the normalisation of common reference design microarray based transcriptomic datasets
... any microarray with any other for a given dataset with ...different microarray data into a sin- gle dataset which may then be subjected to further ...One study used multivariate linear regression to ...
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Design and validation of an oligonucleotide microarray for the detection of genomic rearrangements associated with common hereditary cancer syndromes
... Because microarrays are designed to detect gains and losses in dosage at a specific locus, insertions of material from elsewhere in the genome, particularly of repetitive sequence elements, are difficult to detect. ...
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A software framework for microarray and gene expression object model (MAGE-OM) array design annotation
... different microarray tech- nologies and platforms which generate data in a range of different formats and ...The Microarray Gene Expres- sion Data (MGED) society has proposed a standard known as the Minimum ...
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Design of Microarray Experiments for Genetical Genomics Studies
... the design obtained by continuous techniques can be directly implemented only for ad- ditive effects; in the other two situations an approxima- tion is ...optimal design gives ...optimal design ...
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Design of a Scientic Workow for the Analysis of Microarray experiments with Taverna and R
... Raw microarray data can be quiet huge in size. Over hundred megabytes of data are not uncommon. The analysis of these large data sets can take a lot of time depending on the computing power available and the ...
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Design and implementation of microarray gene expression markup language (MAGE ML)
... sequences, microarray data requires data structures that are both multidimensional and varied, and no natural or standard ways to move results between research groups yet ...
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Study of Feature Selection Techniques using Microarray Data.
... Keywords—Feature selection, microarray data, decision stump, gene identification. I. I NTRODUCTION Feature selection has been a lively analysis space in pattern recognition, statistics, and data processing ...
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Comparative Study of Microarray Based Disease Prediction A Survey
... Keywords -Micro-Array, Gene Clustering, Classification, Semi-Supervised Approach, Features Selection I. INTRODUCTION DNA (Deoxyribo Nucleic acid) is small spots that fixed in a glass slide called microarray. A ...
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A Comparative Study of Microarray Data Analysis for Cancer Classification
... expression microarray data. Microarray allows monitoring of thousands of genes of a sample ...in microarray data analysis. Microarray data classification is two stage process ...
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Empirical study of Gene Ontology based Microarray clustering.
... developed Microarray, a new technology that can analyze thousands of genes in very short time. This new technique greatly accesses the process of gene produces and creates big amount of data, highly increases the ...
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BioVLAB Microarray: Microarray Data Analysis in Virtual Environment
... expression microarray data and there will be new application packages that need to be included in BioVLAB ...to study biological system-level study, ...of microarray data (including gene ...
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