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GEDI: a user-friendly toolbox for analysis of large-scale gene expression data

被引：0
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作者：
André Fujita
João R Sato
Carlos E Ferreira
Mari C Sogayar
机构：
[1] University of São Paulo,Chemistry Institute
[2] University of São Paulo,Institute of Mathematics and Statistics
来源：
BMC Bioinformatics | / 8卷
关键词：
Gene Expression Data; Support Vector Regression; Granger Causality; Vector Autoregressive; Biomedical Researcher;
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