At NYU Langone’s Multi-Omics Study Design and Data Integration Resource (MOSDIR), we are dedicated to developing novel statistical methods and customized statistical approaches that are tailored to your specific study and research needs. From study conception to data interpretation, MOSDIR is here to guide you through every step of your multi-omics journey, ensuring impactful scientific discoveries and advancements.

We specialize in temporal omics data analysis and integration, enabling us to measure dynamic biological systems, and uncover complex interactions underlying clinical mechanisms and causations. Our expertise spans various analyses, including:

• Study design and grant proposal development: conceptualization; study design determination; power/sample size calculation; protocol development; analytic plan development; budget estimate for grant proposal.
• Fundamental/exploratory data analysis: data quality control; data standardization and harmonization; data visualization; data preparation for subsequent integration.
• Immediate analysis: dimension reduction; dynamic interaction network identification and characterization; biomarker discovery and validation within single omics datasets.
• Integrated data analysis: disease risk prediction; classification; clustering analysis; biomarker discovery and validation across multiple omics datasets.
• Advanced causal inference: Mendelian randomization; causal molecular network; causal mediation analysis.
• Advanced dynamic prediction: utilize longitudinal multi-omics data to improve the accuracy of clinical endotyping and clinical endpoint prediction over time.