Computational Biology

Statistical Analysis

We provide services for statistical analysis by applying formal statistical protocols to biological data. Our methods quantify noise in raw data allowing you to make reliable decisions about general population. Our services specially focus on but not limited to the following;

  • Identify true sample data which can represent general population
  • Based on sample data, making assumptions about population
  • Modeling underlying biological phenomena
  • Addressing bias coming from missing data
  • Adjusting random effect

In statistical analysis of biological processes, we employ a wide range of statistical methods like following;

  • Bayesian statistics – conditional probabilities and Bayes’ theorem
  • Descriptive statistics
  • Statistics models – Bernoulli, normal, Poisson distributions etc.
  • Central limit theorem
  • Hypothesis testing


R, SAS, SPSS, Matlab, Octave