Identification of expression patterns in the progression of disease stages by integration of transcriptomic data
Abstract Background In the study of complex diseases using genome-wide expression data from clinical samples, a difficult case is the identification and mapping of the gene signatures associated to the stages that occur in the progression of a disease. The stages usually correspond to different subt...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2016-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-016-1290-4 |