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441
Global gene expression profiles during acute dengue revealed by microarray analysis
Published 2006Journal article -
442
An optimized microarray platform for assaying genomic variation in Plasmodium falciparum field populations
Published 2011Journal article -
443
Neuro−Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis
Published 2006Conference item -
444
Identification of core and variable components of the Salmonella enterica subspecies I genome by microarray.
Published 2005“…We have performed microarray hybridization studies on 40 clinical isolates from 12 common serovars within Salmonella enterica subspecies I to identify the conserved chromosomal gene pool. …”
Journal article -
445
Key issues in conducting a meta-analysis of gene expression microarray datasets.
Published 2008Journal article -
446
Optimal amounts of fluorescent dye improve expression microarray results in tumor specimens.
Published 2005“…Expression microarrays have great potential for clinical use but variability of the results represents a challenge for reliable practical application. …”
Journal article -
447
Acoustic whole blood plasmapheresis chip for prostate specific antigen microarray diagnostics.
Published 2009“…Further, we successfully linked the plasmapheresis microchip to our previously developed porous silicon sandwich antibody microarray chip for prostate specific antigen (PSA) detection. …”
Journal article -
448
Key issues in conducting a meta-analysis of gene expression microarray datasets.
Published 2008Journal article -
449
Functions of Burkholderia virulence factors: input from proteomics and DNA microarray analyses
Published 2012“…In this article, we reviewed the current knowledge on interactions of Burkholderia spp. pathogens with their host mainly from the perspective of data that was generated from recent proteomics and DNA microarray investigations. …”
Article -
450
Utilization of Microarray Technology for Identification of Disease Response Genes in Banana (Musa Spp.)
Published 2006“…The emphasis was give to clones that have putative function in pathogen response or are pathogenesis related following Fusarium fungal infection. The cDNA microarray analysis identified 55 M. acuminata x balbisiana cv Mutiara clones that were transcriptional responsive to the Fusarium fungus infection. …”
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Thesis -
451
Identification of Differentially Expressed Genes in Human Bladder Cancer using Oligonucleotide Microarray
Published 2006“…Labeled cRNA probes were co-hybridized to the microarray slide containing 1,853 cancer related genes. …”
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Thesis -
452
An integrated framework based deep learning for cancer classification using microarray datasets.
Published 2023“…In recent research, deep neural networks were trained using gene expression microarray, to classify cancer. Biologists are able to monitor thousands of genes in one experiment using microarray technology. …”
Article -
453
Classification of breast cancer microarray data using radial basis function network
Published 2009“…By using the microarray, thousands of genes expression can be determined simultaneously. …”
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Thesis -
454
Using bayesian networks to construct gene regulatory networks from microarray data
Published 2012“…In this research, Bayesian network is proposed as the model to construct gene regulatory networks from Saccharomyces cerevisiae cell-cycle gene expression dataset and Escherichia coli dataset due to its capability of handling microarray datasets with missing values. The goal of this research is to study and to understand the framework of the Bayesian networks, and then to construct gene regulatory networks from Saccharomyces cerevisiae cell-cycle gene expression dataset and Escherichia coli dataset by developing Bayesian networks using hill-climbing algorithm and Efron’s bootstrap approach and then the performance of the constructed gene networks of Saccharomyces cerevisiae are evaluated and are compared with the previously constructed sub-networks by Dejori [14]. …”
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455
A pathway-based approach for analyzing microarray data using random forests
Published 2011“…The use of random survival forests for survival outcomes in analyzing microarray data allows researchers to obtain results that are more closely tied with the biological mechanism of diseases.…”
Conference or Workshop Item -
456
A pathway-based approach for analyzing microarray data using random forests
Published 2012“…Although machine learning methods, such as random forests, have been developed to correlate survival outcomes with a set of genes, less study has assessed the abilities of these methods in incorporating pathway information for analyzing microarray data. In general, genes that are identified without incorporating biological knowledge are more difficult to interpret Thus, the pathway-based survival analysts using machine learning methods represents a promising approach for generating new biological hypothesis from micro array studies. …”
Article -
457
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458
Deep learning-based cancer classification for microarray data: a systematic review
Published 2021“…Deep neural networks are robust techniques and recently used extensively for building cancer classification models from different types of data. Nowadays, microarray gene expression datasets consider an essential source of data that is used in cancer classifications. …”
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459
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460
Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis
Published 2020-06-01Subjects: “…Microarray analysis…”
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Article