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The proposed gene expression relation mining system, AutoPat, use the statistical analysis and machine learning approach to construct the regulation patterns from un-annotated sentences that are extracted by a few annotated patterns.
In our research we use the statistical analysis capability of MCS to carry out the uncertainty analysis associated with AHP weights.
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Statistical processing of data was performed using the Statistical Analysis System - SAS Software Version 8.1. SAS Institutee, Inc., Cary, NC).
Data were analyzed through analysis of variance (ANOVA) using the statistical analysis system (SAS version 9.00).
Statistical processing data was performed using the Statistical Analysis System-SAS (Software version 8.1; SAS Institute, Inc.: Cary, NC, USA, 2000) [30].
All quantitative data of the response variables from this study were analysed using the Statistical Analysis System (SAS) version 9.3.
All other multiples comparisons were performed using the statistical analysis software SAS 2002 by SAS Institute Inc., Cary, NC, USA.
Data were entered, coded and analyzed using the statistical analysis software Epi Info ™ 7.2.0.1 version 27/06/2016 in English.
Quantitative analysis of migration was performed using the statistical analysis tool available within MotoCell.
All analyses were done using the statistical analysis software, StatPlus Professional version 2009, for Windows XP (AnalystSoft).
We analyzed the microarray results using the statistical analysis of microarray (SAM) program, which yielded 45 positive hits.
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