Project Overview 

Dissect disease molecular subtypes and identify clinical biomarkers by leveraging multi-omics data integration.

Services Provided 

• Cluster identification using similarity network fusion algorithms.
• Differential Gene Expression and molecular pathways analysis between clusters.
• Selection of molecular biomarkers.
• Correlation between clinical variables and  endotypes.
• Survival analysis using K-M curves.

Deliverables & Benefits 

• Discovery of novel complex disease phenotypes and their prevalence in clinical cohorts.
• Characterization of potential disease-subtype biomarkers.
• Detection of dysregulated mechanisms amenable to targeting with existing internal drug assets.
• Utilization of internal computational infrastructure for data sharing.
• Generation of interactive reports in Rmarkdown, custom data visualizations, and executive summary decks.

Why Choose Lucid Analytics? 

With a deep understanding of life sciences and cutting-edge AI expertise, Lucid Analytics supports clients in accelerating innovation and driving impactful R&D outcomes.

Ready to Transform Your Data? 

Interested in how we can help with your next project? Contact us today to explore how data can drive your R&D success.