Results 211 to 220 of about 473,446 (259)
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Gene expression profiling in sarcomas
Critical Reviews in Oncology/Hematology, 2007Sarcomas are a heterogeneous group of malignant mesenchymal tumors of difficult classification. There is considerable variability in both histological appearance and responsiveness to therapy. Their overall poor clinical prognosis is reflected by the fact that >65% of patients suffering retroperitoneal soft tissue sarcoma die within 5 years [Heslin MJ,
Katharina, Tschoep +4 more
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Gene Expression Profiling in Rheumatology
2007In the last decade, the analysis of gene expression in tissues and cells has evolved from the analysis of a selected set of genes to an efficient high throughput whole-genome screening approach of potentially all genes expressed. Development of sophisticated methodologies such as microarray technology allows an open-ended survey to identify ...
van der Pouw Kraan, Tineke C. T. M. +5 more
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Gene expression profiling of lymphomas
Current Oncology Reports, 2001The functional phenotype of a cell results from the simultaneous action of many thousands of genes, which until recently could not be assessed using standard molecular biological techniques. Indeed, molecular genetics and cellular biology inadequately explain the molecular physiology of normal and diseased cells and provide a fragmented view of the ...
U, Hegde, W H, Wilson
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Tissue Classification with Gene Expression Profiles
Journal of Computational Biology, 2000Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer-related cellular processes. Gene expression data is also expected to significantly aid in the development of efficient cancer diagnosis and classification platforms.
Amir Ben-Dor +5 more
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Gene Expression Profiling in Asthma
2013Transcriptomics (gene expression profiling) refers to the quantitative and qualitative characterization of the collection of ribose nucleic acid (RNA) elements expressed in a biological system and represents one of the first truly genome-wide hypothesis-free investigative approaches in molecular biology.
Joanne, Sordillo, Benjamin A, Raby
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Expression Profiling of Organellar Genes
2012Due to their endosymbiotic origin, expression of plastid and mitochondrial genes retains several features of prokaryotes. Nevertheless, plant organelles acquired novel specific traits during evolution. Furthermore, due to the migration of many genes to the nucleus of the host cell, complex anterograde and retrograde signalling pathways evolved to ...
Cardi T, Giegé P, Kahlau S, Scotti N
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Gene Expression Profiling: Metatranscriptomics
2011Metatranscriptomics has been developed to help understand how communities respond to changes in their environment. Metagenomic studies provided a snapshot of the genetic composition of the community at any given time. However, short-timescale studies investigating the response of communities to rapid environmental changes (e.g.
Jack A, Gilbert, Margaret, Hughes
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Methods to Profile Gene Expression
Trends in Cardiovascular Medicine, 2001Molecular biology has been influenced tremendously by recent technological advancements in miniaturization and automation. One consequence has been the development of robust and sensitive methods to analyze gene expression. The ability to evaluate systematically the expression of every mammalian gene is now technically feasible.
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Gene Expression Profiles in Cutaneous Oncology
Dermatologic Clinics, 2023Skin cancer is highly curable under most circumstances; however, locally advanced or metastatic disease historically has poor outcomes and limited treatment options. Treatment has recently been advanced by the discovery of pertinent genes influencing pathogenesis and further revolutionized by the advent of specific gene expression profiles (GEPs). GEPs
Bo M, Kitrell +6 more
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Tumor-specific gene expression patterns with gene expression profiles
Science in China Series C, 2006Gene 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 +4 more
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