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1.
Pac Symp Biocomput ; : 391-402, 2003.
Artigo em Inglês | MEDLINE | ID: mdl-12603044

RESUMO

Thanks to its increasing availability, electronic literature can now be a major source of information when developing complex statistical models where data is scarce or contains much noise. This raises the question of how to deeply integrate information from domain literature with experimental data. Evaluating what kind of statistical text representations can integrate literature knowledge in clustering still remains an unsufficiently explored topic. In this work we discuss how the bag-of-words representation can be used successfully to represent genetic annotation and free-text information coming from different databases. We demonstrate the effect of various weighting schemes and information sources in a functional clustering setup. As a quantitative evaluation, we contrast for different parameter settings the functional groupings obtained from text with those obtained from expert assessments and link each of the results to a biological discussion.


Assuntos
Genômica/estatística & dados numéricos , Modelos Genéticos , Inteligência Artificial , Análise por Conglomerados , Biologia Computacional , Bases de Dados Genéticas , Perfilação da Expressão Gênica/estatística & dados numéricos , Genoma Fúngico , Saccharomyces cerevisiae/genética
2.
Nat Genet ; 29(4): 365-71, 2001 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-11726920

RESUMO

Microarray analysis has become a widely used tool for the generation of gene expression data on a genomic scale. Although many significant results have been derived from microarray studies, one limitation has been the lack of standards for presenting and exchanging such data. Here we present a proposal, the Minimum Information About a Microarray Experiment (MIAME), that describes the minimum information required to ensure that microarray data can be easily interpreted and that results derived from its analysis can be independently verified. The ultimate goal of this work is to establish a standard for recording and reporting microarray-based gene expression data, which will in turn facilitate the establishment of databases and public repositories and enable the development of data analysis tools. With respect to MIAME, we concentrate on defining the content and structure of the necessary information rather than the technical format for capturing it.


Assuntos
Biologia Computacional , Análise de Sequência com Séries de Oligonucleotídeos/normas , Perfilação da Expressão Gênica/métodos
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