Results 261 to 270 of about 4,727,278 (305)

Tumor-specific gene expression patterns with gene expression profiles

Science in China Series C, 2006
Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations ...
Xiaogang, Ruan, Yingxin, Li, Jiangeng, Li, Daoxiong, Gong, Jinlian, Wang   +4 more
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Gene Expression and Profiling

2016
Transcriptomics analysis has been widely applied to explore the unknown genes or factors in various biological processes, traits, diseases, and drug treatment. By screening entire RNAs, this technique implicates novel genes and pathways related to a particular condition.
Yu Zhou, Chao Xu, Jigang Zhang, Hong-Wen Deng   +3 more
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Gene Expression Profiling of Human Cancers

Annals of the New York Academy of Sciences, 2004
Abstract: DNA microarrays allow us to visualize simultaneously the expression of potentially all genes within a cell population or tissue sample—revealing the “transcriptome.” The analysis of this type of data is commonly called “gene expression profiling” (GEP) because it provides a comprehensive picture of the pattern of gene expression in a ...
Giselda, Bucca, Giuseppe, Carruba, Analisa, Saetta, Paula, Muti, Luigi, Castagnetta, Colin P, Smith   +5 more
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Gene expression profiles in esophageal adenocarcinoma

The Annals of Thoracic Surgery, 2004
The incidence of esophageal adenocarcinoma (EAC) has risen dramatically in the last two decades. As with other malignancies, changes in gene expression play a key role in the development and progression of these tumors.Microarray analysis was used to study gene expression of 12,000 genes in EAC specimens.
Peter S, Dahlberg, Lance F, Ferrin, Suzanne M, Grindle, Curtis M, Nelson, Chuong D, Hoang, Blake, Jacobson   +5 more
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Gene Expression Profiling of Melanocytic Lesions

The American Journal of Dermatopathology, 2003
DNA microarrays, microscopic grids of DNA, can be used to assess gene expression within a particular cell or cell population. Since DNA from thousands of genes can be hybridized and analyzed in one experiment, researchers can globally characterize genes expressed in normal and various pathologic states.
John T, Seykora, Debbie, Jih, Rosalie, Elenitsas, Wen-Hwai, Horng, David E, Elder   +4 more
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Gene Expression Profiling of Breast Cancer

Annual Review of Pathology: Mechanisms of Disease, 2007
DNA microarray platforms for gene expression profiling were invented relatively recently, and breast cancer has been among the earliest and most intensely studied diseases using this technology. The molecular signatures so identified help reveal the biologic spectrum of breast cancers, provide diagnostic tools as well as prognostic and predictive gene ...
Maggie C U, Cheang, Matt, van de Rijn, Torsten O, Nielsen   +2 more
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Gene Expression Profiling

2010
Gene expression (GE) analyses by use of microarrays (MAs) have become an important part of biomedical and clinical research and the resulting data may provide important information regarding pathogenesis and be extrapolated for use in diagnosing/prognosticating lymphomas and leukemias.
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Clustering Short Gene Expression Profiles

2006
The unsupervised clustering analysis of data from temporal or dose-response experiments is one of the most important and challenging tasks of microarray data anlysis. Here we present an extension of CAGED (Cluster Analysis of Gene Expression Dynamics, one of the most commonly used programs) to identify similar gene expression patterns measured in ...
Ling Wang, Marco Ramoni, Paola Sebastiani   +2 more
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Gene expression profiling

XRDS: Crossroads, The ACM Magazine for Students, 2015
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GENE EXPRESSION PROFILING

Hematology/Oncology Clinics of North America, 2001
Elizabeth A. Raetz, Philip J. Moos, Aniko Szabo, William L. Carroll   +3 more
openaire   +1 more source