MetaFun: Unveiling sex differences in multiple omics studies through comprehensive functional meta-analysis
Keyword(s):
Sex and gender differences in different health scenarios has been thoroughly acknowledged in the literature, and yet, very scarcely analyzed. To fill the gap, here we present MetaFun, which allows to meta-analyze multiple omics datasets with a sex-based perspective, and to combine different datasets to gain major statistical power and to assist the researcher in understanding these sex differences in the diseases under study. Metafun is freely available at bioinfo.cipf.es/metafun
2012 ◽
Vol 220
(2)
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pp. 57-60
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2016 ◽
Vol 22
(4)
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pp. 575-588
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2015 ◽
Vol 29
(2)
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pp. 162-163
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Keyword(s):