| Methods and approaches in the analysis of gene expression data. | |
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MedLine Citation:
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PMID: 11251224 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The application of high-density DNA array technology to monitor gene transcription has been responsible for a real paradigm shift in biology. The majority of research groups now have the ability to measure the expression of a significant proportion of the human genome in a single experiment, resulting in an unprecedented volume of data being made available to the scientific community. As a consequence of this, the storage, analysis and interpretation of this information present a major challenge. In the field of immunology the analysis of gene expression profiles has opened new areas of investigation. The study of cellular responses has revealed that cells respond to an activation signal with waves of co-ordinated gene expression profiles and that the components of these responses are the key to understanding the specific mechanisms which lead to phenotypic differentiation. The discovery of 'cell type specific' gene expression signatures have also helped the interpretation of the mechanisms leading to disease progression. Here we review the principles behind the most commonly used data analysis methods and discuss the approaches that have been employed in immunological research. |
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Authors:
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J Dopazo; E Zanders; I Dragoni; G Amphlett; F Falciani |
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Publication Detail:
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Type: Comparative Study; Journal Article; Review |
Journal Detail:
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Title: Journal of immunological methods Volume: 250 ISSN: 0022-1759 ISO Abbreviation: J. Immunol. Methods Publication Date: 2001 Apr |
Date Detail:
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Created Date: 2001-03-19 Completed Date: 2001-05-17 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 1305440 Medline TA: J Immunol Methods Country: Netherlands |
Other Details:
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Languages: eng Pagination: 93-112 Citation Subset: IM |
Affiliation:
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Bioinformatica, Centro Nacional de Investigaciones Oncológicas Carlos III, Ctra. Majadahonda-Pozuelo, Km. 2 Majadahonda 28220, Madrid, Spain. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Classification Cluster Analysis Data Interpretation, Statistical Gene Expression Profiling / methods*, statistics & numerical data Genome, Human Humans Immunologic Techniques Neural Networks (Computer) Oligonucleotide Array Sequence Analysis Phenotype Reproducibility of Results |
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