Infection of burkholderia cepacia induces homeostatic responses in the host for their prolonged survival: the microarray perspective by Mariappan, V., Vellasamy, K.M., Thimma, J., Hashim, Onn Haji, Vadivelu, J.

“…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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Development And Application Of Expressed Sequence Tags And Dna Microarray For Somatic Embryogenesis In Oil Palm by Low, Leslie Eng Ti

“…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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Informative top-k class associative rule for cancer biomarker discovery on microarray data by Ong, Huey Fang, Mustapha, Norwati, Hamdan, Hazlina, Rosli, Rozita, Mustapha, Aida

“…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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Bayesian random forests for high-dimensional classification and regression with complete and incomplete microarray data by Oyebayo, Olaniran Ridwan

“…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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Informative top-k class associative rule for cancer biomarker discovery on microarray data by Ong, Huey Fang, Mustapha, Norwati, Hamdan, Hazlina, Rosli, Rozita, Mustapha, Aida

“…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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Selecting informative genes from microarray data by using hybrid methods for cancer classification by Mohamad, Mohd Saberi, Omatu, Sigeru, Deris, Safaai, Misman, Muhammad Faiz, Yoshioka, Michifumi

“…Gene expression technology, namely microarrays, offers the ability to measure the expression levels of thousands of genes simultaneously in biological organisms. …”

A Study On Gene Selection And Classification Algorithms For Classification Of Microarray Gene Expression Data by Yeo, Lee Chin, Deris, Safaai

“…The Development Of Microarray Technology Allows Researchers To Monitor The Expression Of Genes On A Genomic Scale. …”
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Statistical analysis of human tuberculosis microarray gene expression data in the bioconductor R package by Shittu, Umar

“…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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Biological analysis of microarray data using orthogonal forward selection with a clustering approach by Wong, Sou Kah, Moorthy, Kohbalan, Mohamad, Mohd. Saberi, Kasim, Shahreen, Deris, Safaai, Omatu, Sigeru, Yoshioka, Michifumi

“…DNA microarray technology allows researchers to monitor the expression level of thousands of genes under various conditions in microarray experiments. …”

A two-stage method for identifying a smaller subset of genes in microarray data by Mohamad, Mohd. Saberi, Omatu, Sigeru, Deris, Safaai, Yoshioka, Michifuci

“…Microarray data measured by microarray are useful for cancer classification. …”
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Improved LASSO (ILASSO) for gene selection and classification in high dimensional dna microarray data by Kargi, Isah Aliyu, Ismail, Norazlina, Mohamad, Ismail

“…Classification and selection of gene in high dimensional microarray data has become a challenging problem in molecular biology and genetics. …”
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Microchip-based assay systems : methods and applications / by Floriano, Pierre N.

Subjects:

Gene selection from microarray gene expression data using relieff algorithm [electronic resource] / by 344576 Naveena S. Gopal Nair

Classification of breast cancer microarray data using radial basis function network [electronic resource] / by Umi Hanim Mazlan, 1986-, Fakulti Sains Komputer dan Sistem Maklumat

A pathway-based approach for analyzing microarray data using random forests [electronic resource] / by Chin, Hui Shi, 1986-, author

Subjects:

Using bayesian networks to construct gene regulatory networks from microarray data [electronic resource] / by Tan, Ai Kung, 1987-

Subjects:

Identifying metabolic pathway within microarray gene expression data using combination of probabilistic models / by Abdul Hakim Mohamed Salleh, 1988-, author, Mohd. Saberi Mohamad, Fakulti Sains Komputer dan Sistem Maklumat

Subjects: “…DNA microarrays…”

Improved random forest with multiple support vector machine for gene selection and classification of microarray data / by Kohbalan Moorthy, 1987- , author, Mohd. Saberi Mohamad, supervisor, Safa'ai Deris, 1955- , supervisor, Fakulti Kejuruteraan. Sekolah Komputeran

Improved random forest with multiple support vector machine for gene selection and classification of microarray data / by Kohbalan Moorthy, 1987- , author

Functional analysis of microarray gene expression data using gene selection method with gene ontology / by Lem, Sze Yee, 1990-, author, Mohd. Saberi Mohamad, supervisor, Fakulti Komputeran

Subjects: “…DNA microarrays…”