Mining microarray expression data by literature profiling

AUTOR(ES)

Chaussabel, Damien

FONTE

BioMed Central

RESUMO

The lack of efficient techniques for assessing the biological implications of microarray gene-expression data remains an important obstacle in exploiting this information. To address this need, a mining technique has been developed based on the analysis of literature profiles generated by extracting the frequencies of certain terms from thousands of abstracts stored in the Medline literature database.

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