L&MARK staff includes highly educated and experienced mathematicians. We provide tools and services to analyze and resolve statistical problems of biotech companies that haven't got their own resources in biostatistics.

Our competence allows us to become partner in following fields:

• experiment planning,
• quality insurance in experimental data collection,
• building structured knowledge base from measurement data,
• using data mining and correlation analysis technologies,
• elaboration of project tailored analysis, evaluation and presentation of experimental data,
• turning data into information and turning information into knowledge

Correlation analysis

Correlations between measured data describe the relations between observed biological processes. State of the art high throughput technologies used in labs generate enormous amounts of data. Some correlations are multidimensional, which means that not only two measurements are to be analyzed pairwise, but practically any bundle of data can correlate with another bundle of data. The relations and dependencies between measurements can only be discovered with an appropriate method. The application of data mining technologies for biotech problems provides a reliable solution.

Experimental data managed in an appropriately structured database will be biostatistically processed. That means, all data sets will be statistically analyzed with others. Several parametric and non-parametric probes and statistics will be calculated for each analyzed dataset to discover any kind of relation or even prove the independency between them. Please see the attached case studies for examples. If you have any questions, or you are fighting with the management and evaluation of huge amount of experimental and literature data, do not hesitate to contact us.