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DNA microarray

Methods for interpreting lists of affected genes obtained in a DNA microarray experiment

Methods for interpreting lists of affected genes obtained in a DNA microarray experiment

... S5 Methods for interpreting lists of affected genes obtained in a DNA microarray experiment Jakob Hedegaard, Christina Arce, Silvio Bicciato, Agnès Bonnet, Bart Buitenhuis, Melania Collado-Romero, Lene N. ...

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Detection of perturbation phases and developmental stages in organisms from DNA microarray time series data.

Detection of perturbation phases and developmental stages in organisms from DNA microarray time series data.

... Available DNA microarray time series that record gene expression along the developmental stages of multicellular eukaryotes, or in unicellular organisms subject to external perturbations such as stress and ...

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QTLs identification for characteristics of the root system in upland rice through DNA microarray

QTLs identification for characteristics of the root system in upland rice through DNA microarray

... A total of 3,742 SNP markers were developed and distributed along the 12 rice chromosomes. These markers were submitted to the DNA microarray technique (Schena, Shalon, Davis, & Brown, 1995). Any SNPs ...

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Avaliação das técnicas moleculares de DNA microarray e LAMP para a identificação das espécies Cryptococcus neoformans e Cryptococcus gattii de isolados crescidos em meio de cultura e de líquido cefalorraquidiano de pacientes com meningite  

Avaliação das técnicas moleculares de DNA microarray e LAMP para a identificação das espécies Cryptococcus neoformans e Cryptococcus gattii de isolados crescidos em meio de cultura e de líquido cefalorraquidiano de pacientes com meningite  

... molecular microarray and Loop Mediated Isothermal amplification (LAMP) techniques in the identification of Cryptococcus in the cerebrospinal fluid of patients with cryptococcal meningitis differentiating the ...

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SVD identifies transcript length distribution functions from DNA microarray data and reveals evolutionary forces globally affecting GBM metabolism.

SVD identifies transcript length distribution functions from DNA microarray data and reveals evolutionary forces globally affecting GBM metabolism.

... To search for evolutionary forces that might act upon transcript length, we use the singular value decomposition (SVD) to identify the length distribution functions of sets and subsets of human and yeast transcripts from ...

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Avaliação da plataforma de DNA microarray na identificação de fungos patogênicos a partir de frascos de hemocultura

Avaliação da plataforma de DNA microarray na identificação de fungos patogênicos a partir de frascos de hemocultura

... kefyr, Candida krusei, Candida lusitaniae, Candida parapsilosis, Candida tropicalis, Coccidioides posadassi, Cryptococcus sp., Fusarium sp., Fusarium solani, Histoplasma capsulatum, Malassezia furfur, Mucor sp., ...

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Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data

Feature Selection using Complementary Particle Swarm Optimization for DNA Microarray Data

... In the pretreatment process, the feature selection can effectively reduce the calculation time without negatively affecting classification accuracy. Feature selection uses relatively fewer features since only selective ...

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D-MaPs - DNA-microarray projects: web-based software for multi-platform microarray analysis

D-MaPs - DNA-microarray projects: web-based software for multi-platform microarray analysis

... cess microarray data obtained from distinct experimental de- signs (one- and two-color fluorescent labeling) and plat- forms (GeneTAC, ScanArray, CodeLink, NimbleGen and ...for microarray research ...

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An Analytical Process for Screening Susceptibility Genes of Type 2 Diabetes Mellitus Using Pooled DNA Microarray Data

An Analytical Process for Screening Susceptibility Genes of Type 2 Diabetes Mellitus Using Pooled DNA Microarray Data

... In this study, we suggest a suitable analysis method for pooled DNA on Affymetrix SNP array as follows. The probe intensities of both perfect match and mismatch should pass discrimination filter to block ...

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Identification of therapeutic target genes with DNA microarray in multiple myeloma cell line treated by IKKβ/NF-κB inhibitor

Identification of therapeutic target genes with DNA microarray in multiple myeloma cell line treated by IKKβ/NF-κB inhibitor

... In order to explore the DEGs in the intervention process of MM, the publicly available microarray dataset GSE8476 was downloaded from GEO. The DEGs with p < 0.05 and |logFC| > 1 were selected for further ...

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Production of DNA Microarray and Expression Analysis of Genes from Xylella fastidiosa in Different Culture Media

Production of DNA Microarray and Expression Analysis of Genes from Xylella fastidiosa in Different Culture Media

... lower than 100 ng/ l, loss of sensitivity and underestimation of differential expression degree between samples were observed (Yue et al., 2001). Human (pHUM1 and pHUM7) and plant genes (707050B11-Rubisco), as well as ...

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biDCG: a new method for discovering global features of DNA microarray data via an iterative re-clustering procedure.

biDCG: a new method for discovering global features of DNA microarray data via an iterative re-clustering procedure.

... pathology. DNA microarrays, also called ‘‘gene chips’’ or ‘‘DNA chips’’, make success of this approach possible as they allow researchers to monitor the expression of thousands to hundreds of thousand genes ...

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LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data

LEAF: Leave-one-out Forward Selection Method for Gene Selection in DNA Microarray Data

... Abstract—Preventing, diagnosing, and treating disease is greatly facilitated by the availability of biomarkers. Recent improvements in bioinformatics technology have facilitated large-scale screening of DNA arrays ...

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LEAF: Leave-one-out Forward Selection Method for Informative Gene Discovery in DNA Microarray Data

LEAF: Leave-one-out Forward Selection Method for Informative Gene Discovery in DNA Microarray Data

... Abstract—Preventing, diagnosing, and treating disease is greatly facilitated by the availability of biomarkers. Recent im- provements in bioinformatics technology have facilitated large- scale screening of DNA ...

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Computational methods for microarray data analysis

Computational methods for microarray data analysis

... a DNA microarray experiment for assessment of regulated genes, the mRNA extracted from the sample cells is measured and used to infer about gene expression, as the mRNA produced for protein synthesis in an ...

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Role of Permutations in Significance Analysis of Microarray and Clustering of Significant Microarray Gene list

Role of Permutations in Significance Analysis of Microarray and Clustering of Significant Microarray Gene list

... of Microarray Databases for the Analysis of Environmental Factors on Plants Using Cluster Analysis and Predictive Regression”, Oxford University Press, ...Lehmussola,” DNA microarray data analysis”, ...

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Integrated Classifier: A Tool for Microarray Analysis

Integrated Classifier: A Tool for Microarray Analysis

... years, microarray data have been extensively studied for gene expres- sion analysis in biological and biomedical ...of DNA Microarray technology have enabled the simultaneous measurement of the ...

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Getting started in gene expression microarray analysis.

Getting started in gene expression microarray analysis.

... instead to compare relative expression levels between a pair of samples on each microarray (two-color or two-channel arrays). There are tradeoffs between the two approaches. Single-color arrays allow for more ...

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Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data

Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data

... Microarray technology has been extensively used by the scientific community. Ac- cordingly, there has been a lot of data generation related to gene expression. This data is scattered and not easily available for ...

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Tissue Microarray Analysis Applied to Bone Diagenesis

Tissue Microarray Analysis Applied to Bone Diagenesis

... Tissue microarray recipient block preparation. Two histological sections of 3 μ m from each of the 20 exhumed and 9 control bone donor blocks were mounted on silanized slides and stained with hematoxylin and eosin ...

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