We offer data analysis of gene and protein expressions. You get a full analysis of your data with state of the art biostatistical methods.
We use advanced statistical programming to assure high-quality analysis by performing the necessary test to ensure the correct analytical tools are applied.
Supervised Machine Learning facilitates our ambition for quicker and cheaper data analysis. We strive to deliver your report within a week.
Every report comes with a section where all used methods are described, and the choice of statistical methods applied justified throughout the report.
We have prepared a method section, as well as figures and tables, so that you can copy-paste the content directly into your work.
You will get a report of the analysis with graphic representations of your data. The report is a walkthrough of the analysis explaining the decisions made and what is implied by the different methods used.
You also get folders containing tables and figures, giving you the exact calculated values from e.g., regulation of different proteins and graphic illustrations of every regulation by Boxplot, respectively.
We have packed illustrations, raw data, and tables in separate folders to ease any set-up changes deemed necessary. Thus, you can quickly locate and access individual items as needed.
Our service provides you with deep insight and an advanced analysis of your expression data.
To achieve a more in-depth insight, we use several Machine Learning methods, including several clustering methods like K-means. It enables the discovery of subgroups and sub-studies within a single study, thus allowing the expansion of the analysis and potential discovery of personalized medicine-based features.
At Biogenity, we keep on striving to improve the analysis method currently used in conventional expression data analysis. We are achieving this by using advanced biostatistical and statistical methods to improve statistical accuracy.
You can currently select between our Basic and Advanced Data Analysis. The difference lies in the used pipeline, where the advanced approach exploits bioinformatic tools to achieve a deeper understanding of your data. The basic analysis is limited to biostatistical analysis.
Illustrations are carefully selected to enhance the understanding of the data and the results. There is an in-depth review of how the values should be read for each illustration in the analysis. Thus, through illustrative examples, you will achieve a deeper understanding of the results.
All illustrations are made, so they are easily and aesthetically to include in your work. All illustrations are vector-based, thus scalable to ensure that they can be adjusted to fit your preferences.