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masigfun [2010/05/04 23:24]
aconesa
masigfun [2010/05/04 23:25] (current)
aconesa
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 ===== maSigFun ===== ===== maSigFun =====
-**maSigFun** [[references |[4]]] methodology derives from **maSigPro** [[references |[1]]], a regression-based approach for the analysis of multiple series time-course microarray data. In **maSigFun** the regression model is not gene-wise fitted as in **maSigPro**,​ but to the data matrix composed by the expression values of all genes belonging to the functional class, thereby being one regression model computed for each functional category. The program returns lists of functional categories with a statistically significant expression changes, as a whole, along time and across series. As in **maSigPro**,​ the trajectory charts for significant functional categories can be plotted through the //maSigFun visulazation// module.\\+**maSigFun** [[references |[4]]] methodology derives from **maSigPro** [[references |[1]]], a regression-based approach for the analysis of multiple series time-course microarray data. In **maSigFun** the regression model is not gene-wise fitted as in **maSigPro**,​ but to the data matrix composed by the expression values of all genes belonging to the functional class, thereby being one regression model computed for each functional category. The program returns lists of functional categories with a statistically significant expression changes, as a whole, along time and across series. As in **maSigPro**,​ the trajectory charts for significant functional categories can be plotted through the //maSigFunVisulazation// module.\\
 \\ \\
 __Parameters for //maSigFun class selection//​__:​ __Parameters for //maSigFun class selection//​__:​
masigfun.txt ยท Last modified: 2010/05/04 23:25 by aconesa
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