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Navigation: Home
\ Graphic Apps
\ CAD \ MeV
MeV4.9.0 by MeV |
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Software Description:
MeV or Multiple Experiment Viewer is a Java tool to help you with microarray gene expression data analysis. MeV supports 5 input formats, and provides an intuitive graphical interface for clustering, classification, statistical analysis and theme discovery.
type: Freeware
Download MeVcategories: data analyzer, microarray gene analysis, analyze data, analyzer, analysis, analyze Add to Download Basket Report virus or spyware |
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| Software Info | |
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Best Vista Download periodically updates pricing and software information of MeV full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for MeV license key is illegal and prevent future development of MeV. Download links are directly from our mirrors or publisher's website, MeV torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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| Released: | April 04, 2013 |
| Filesize: | 106.00 MB |
| Platform: | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64 |
| Install | Instal And Uninstall |
| Add Your Review or Windows Vista Compatibility Report |
MeV- Releases History |
| Software: | MeV 4.9.0 |
| Date Released: | Apr 4, 2013 |
| Status: | New Release |
| Software: | MeV 4.6.2 r2536 |
| Date Released: | Nov 25, 2010 |
| Status: | New Release |
| Release Notes: | · Hierarchical Clustering header trees now appear when HCL is auto-launched by another module. · RHook default/cached prop loading and remote access and other Exception handling and forwarding. · 64 Bit Java bypass added to TMEV.bat launch file. · BN progress bar now updates properly when the module is run more than once. · Added placeholder file to data/BN_files/kegg directory to ensure the folders always appear regardless of which unzip utility is used. · Removed Cluster Analysis option for modules when Clusters have not been created. · Several small fixes pertaining to loading and unloading data. · Default setting changed in SAM when using R. · Error handling in Non-Negative Matrix Factorization improved, Plotviewer label issues resolved. |
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