# Core C - Biostatistics & Bioinformatics Core

> **NIH NIH P50** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2022 · $264,350

## Abstract

PROJECT SUMMARY
The Biostatistics and Bioinformatics Core (Core C) of the NYU Melanoma SPORE will provide statistical and 
bioinformatics collaboration and consultation to all SPORE Research Projects and Cores. Consultation is 
available from the study design and planning stages through implementation, data management, statistical and 
bioinformatics analysis, and interpretation of results. Core C will provide support for all proposed laboratory 
studies and translational studies, including biomarker development based on samples from existing and new 
clinical trials to support the overarching mission and central scientific strategy of the NYU Melanoma SPORE. 
Furthermore, strategies for the systematic selection of samples from all the projects and the coordination of 
informatics support in Core C will permit the overall integration of results across projects to develop 
comprehensive models to predict treatment outcomes and toxicity. Core C draws on and integrates an extensive 
fund of knowledge, resources, and expertise across the NYU Langone Medical Center (NYULMC) and NYU 
Perlmutter Cancer Center (PCC) to serve the NYU Melanoma SPORE. Co-Director Dr. Yongzhao Shao is 
Deputy Director of the PCC Biostatistics Shared Resource (BSR) and Dr. Itai Yanai is the Director of the Institute 
for Computational Medicine, respectively, and will provide integrated biostatistical and bioinformatics support 
and ensure maximum utilization of all institutional resources and facilities. This will empower the provision of 
expertise in all aspects of statistical design; power/sample size calculations; systematic sample selection 
strategies for efficient data integration and analyses; and integration of data from multiple sources including 
laboratory data, clinical data, and data from diverse sequencing platforms. Core C will develop innovative 
statistical and bioinformatics methods, including scalable computation algorithms, for identifying and evaluating 
biomarkers in translational studies, and will make these newly developed algorithms publicly available to the 
larger cancer research community. In particular, Core C’s identification of biomarkers that may optimize the 
personalized management of advanced melanoma patients will enable the development of integrated, 
multivariable predictive models for treatment response and toxicity. This work, based on biomarkers discovered 
across SPORE Projects, will contribute to personalized melanoma management and amplify the translational 
impact of the NYU Melanoma SPORE.

## Key facts

- **NIH application ID:** 10434086
- **Project number:** 5P50CA225450-04
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Yongzhao Shao
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $264,350
- **Award type:** 5
- **Project period:** 2019-07-19 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10434086

## Citation

> US National Institutes of Health, RePORTER application 10434086, Core C - Biostatistics & Bioinformatics Core (5P50CA225450-04). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10434086. Licensed CC0.

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