J. Thomas Eck
Computational Biology/Drug Discovery Consultant
teck@bio-teck.com
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Statistical and Mathematical Services
Data Analysis
Statistical and numerical data analysis methods
Correlation analysis
Markov Models (HMM and other)
Bayesian Statistical Methods
Superior predictive capabilities in comparison to standard (frequentist) methods
Adaptive methods automatically incorporate newly-acquired knowledge
Facilitate the design of smaller, more flexible experiments and clinical trials
Incorporate knowledge from heterogeneous sources
(e.g. results from complementary experiments)
Suitable for analyzing the results from discovery, basic research, trials, and marketing efforts
Significance Testing
Patented, rigorous multi-experiment statistical method
Ultra high-performance, high-capacity algorithm supports
high-dimensional data sets
Automatically discovers correlations of all parameters and combinations of parameters
Optimization
Monte Carlo methods
Numerical optimization methods
Hill-Climbing and simulated annealing techniques