# Core C: Biostatistics and Bioinformatics Core

> **NIH NIH P50** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2024 · $204,105

## Abstract

PROJECT SUMMARY – BIOSTATISTICS/BIOINFORMATICS CORE (CORE C)
 The Biostatistics/Bioinformatics Core (Core C) of the Hillman Cancer Center (HCC) HN SPORE provides
services for the design of experiments and the analysis of in vitro, in vivo, clinical, translational and -omics
data. The investigators and staff of both segments of the Core have significant experience in research in head
and neck cancers, so that data are analyzed in the appropriate scientific context, increasing the Core's
efficiency and effectiveness compared to general purpose data analysis services. Biostatistics and
Bioinformatics combines classic statistical techniques with contemporary Bayesian, machine learning and
genomics methods to ensure that every research project, Developmental Research Program and Career
Development Program awardee in the SPORE has access to the most appropriate analyses. The Core will
also work closely with Core A (OSD) and Core B to ensure that data flows between laboratories, clinics and
analysts are efficient and that data and resource sharing can be effective and comprehensive.
 This Core C Co-Directors are Dr. Daniel Normolle (Biostatistics) and Dr. Riyue Bao (Bioinformatics) who
have assembled an excellent team to help achieve the goals of the HN SPORE.

## Key facts

- **NIH application ID:** 10923908
- **Project number:** 5P50CA097190-18
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Riyue Bao
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $204,105
- **Award type:** 5
- **Project period:** 2004-07-01 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10923908

## Citation

> US National Institutes of Health, RePORTER application 10923908, Core C: Biostatistics and Bioinformatics Core (5P50CA097190-18). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10923908. Licensed CC0.

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