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581
Infection of burkholderia cepacia induces homeostatic responses in the host for their prolonged survival: the microarray perspective
Published 2013“…In contrast, the host cell cycle and metabolic processes, particularly glycolysis/glycogenesis and fatty acid metabolism were transcriptionally up-regulated during the infection. Our microarray analysis provided preliminary insights into mechanisms of B. cepacia pathogenesis. …”
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582
Development And Application Of Expressed Sequence Tags And Dna Microarray For Somatic Embryogenesis In Oil Palm
Published 2009“…A subset of these ESTs were selected and spotted on cDNA microarrays. Both the EST and microarray data analysis were able to identify expression profiles that could differentiate non-embryogenic callus from embryogenic samples. …”
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583
Informative top-k class associative rule for cancer biomarker discovery on microarray data
Published 2020“…One of the strategies is by identifying expression-based cancer biomarkers through integrative microarray data analysis. Microarray is a powerful high-throughput technology, which allows a genome-wide analysis of human genes with various biological information. …”
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584
Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data
Published 2018“…Performance analysis was achieved using simulated and eighteen real-life classification and regression microarray cancer datasets. Empirical results from the data analysis established appreciable supremacy over RF and several other competing methods. …”
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Thesis -
585
Informative top-k class associative rule for cancer biomarker discovery on microarray data
Published 2020“…One of the strategies is by identifying expression-based cancer biomarkers through integrative microarray data analysis. Microarray is a powerful high-throughput technology, which allows a genome-wide analysis of human genes with various biological information. …”
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586
Selecting informative genes from microarray data by using hybrid methods for cancer classification
Published 2009“…Gene expression technology, namely microarrays, offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. …”
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587
A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data
Published 2005“…The Development Of Microarray Technology Allows Researchers To Monitor The Expression Of Genes On A Genomic Scale. …”
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588
Statistical analysis of human tuberculosis microarray gene expression data in the bioconductor R package
Published 2015“…The results of this study, explore the use of affycoretool for microarray TB image visualization analysis, AffyQCReport tool for TB microarray data quality assessment, GCRMA method for TB microarray data normalization and LIMMA as a statistical tool for the identification of significantly expressed genes of human TB. …”
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Thesis -
589
Biological analysis of microarray data using orthogonal forward selection with a clustering approach
Published 2015“…DNA microarray technology allows researchers to monitor the expression level of thousands of genes under various conditions in microarray experiments. …”
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590
A two-stage method for identifying a smaller subset of genes in microarray data
Published 2008“…Microarray data measured by microarray are useful for cancer classification. …”
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591
Improved LASSO (ILASSO) for gene selection and classification in high dimensional dna microarray data
Published 2021“…Classification and selection of gene in high dimensional microarray data has become a challenging problem in molecular biology and genetics. …”
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A pathway-based approach for analyzing microarray data using random forests [electronic resource] /
Published 2011Subjects: -
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Identifying metabolic pathway within microarray gene expression data using combination of probabilistic models /
Published 2011Subjects: “…DNA microarrays…”
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Functional analysis of microarray gene expression data using gene selection method with gene ontology /
Published 2014Subjects: “…DNA microarrays…”