statistical methods for genomics
GenoStat supports genome research and biotechnology development by providing
assistance in hypothesis formulation, design of experiments, stochastic modeling, data
management and visualization, as well as analysis and advice. Our approach is to adapt
statistical methods and software to your technical objectives through consultation and
collaboration. Consultants can help to
GenoStat has engaged in multidisciplinary research since 2001, by adapting signal
processing techniques and the methods of exotic statistical physics to emerging data
analytic needs of the life sciences.
If you can use assistance with statistical analyses or issues in research design, please
contact GenoStat for a no-cost consultation.
assistance in hypothesis formulation, design of experiments, stochastic modeling, data
management and visualization, as well as analysis and advice. Our approach is to adapt
statistical methods and software to your technical objectives through consultation and
collaboration. Consultants can help to
- identify important issues in statistical analysis of test data and recommend
appropriate solutions;
- speed completion of publications and reports by creating tables, graphics, and
explanatory text;
- develop novel methods to create, maintain, search, correlate, visualize, and leverage
specialized databases;
- and help with statistical programming questions in computing environments like S-
Plus, the R-Statistical System, MATLAB, SAS, SPSS, and others.
GenoStat has engaged in multidisciplinary research since 2001, by adapting signal
processing techniques and the methods of exotic statistical physics to emerging data
analytic needs of the life sciences.
If you can use assistance with statistical analyses or issues in research design, please
contact GenoStat for a no-cost consultation.
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| GenoStat 4508 Cheltenham Drive Bethesda, MD 20814 USA baran@genostat.com |