Methods and approaches in the analysis of gene expression data

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Methods and approaches in the analysis of gene expression data. / Dopazo, J; Zanders, E; Dragoni, I; Amphlett, G; Falciani, Francesco.

In: Journal of Immunological Methods, Vol. 250, No. 1-2, 01.01.2001, p. 93-112.

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Dopazo, J ; Zanders, E ; Dragoni, I ; Amphlett, G ; Falciani, Francesco. / Methods and approaches in the analysis of gene expression data. In: Journal of Immunological Methods. 2001 ; Vol. 250, No. 1-2. pp. 93-112.

Bibtex

@article{9426d1e130954bb08b18d0a6f0d8e31b,
title = "Methods and approaches in the analysis of gene expression data",
abstract = "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.",
author = "J Dopazo and E Zanders and I Dragoni and G Amphlett and Francesco Falciani",
year = "2001",
month = jan,
day = "1",
doi = "10.1016/S0022-1759(01)00307-6",
language = "English",
volume = "250",
pages = "93--112",
journal = "Journal of Immunological Methods",
issn = "0022-1759",
publisher = "Elsevier",
number = "1-2",

}

RIS

TY - JOUR

T1 - Methods and approaches in the analysis of gene expression data

AU - Dopazo, J

AU - Zanders, E

AU - Dragoni, I

AU - Amphlett, G

AU - Falciani, Francesco

PY - 2001/1/1

Y1 - 2001/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0035313785&partnerID=8YFLogxK

U2 - 10.1016/S0022-1759(01)00307-6

DO - 10.1016/S0022-1759(01)00307-6

M3 - Article

C2 - 11251224

VL - 250

SP - 93

EP - 112

JO - Journal of Immunological Methods

JF - Journal of Immunological Methods

SN - 0022-1759

IS - 1-2

ER -