Integration and Data Analysis

We integrate genomic, transcriptomic, proteomic, clinical (ADaM, SDTM, and client) and experimental data such as spatial transcriptomics or high-dimensional multiplex IHC into a single analytical framework. This integration allows for the identification of complex correlations and patterns that are invisible in isolated analyses, providing robust and reproducible information. The results enable the drawing of solid biomedical conclusions and intuitive visualizations that facilitate exploration and analysis by multidisciplinary teams.

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