# Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation

> **NIH NIH U24** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $619,256

## Abstract

PROJECT SUMMARY
It has become feasible to generate deep quantitative data for many of the molecules that are functional in cells,
making it possible to survey a large number of tumors measuring genomic alterations and changes to
transcripts, proteins and metabolites. It is, however, not clear what is the best way to integrate these data sets
to extract as much information as possible about the biology that drives the cancer and how to best disrupt the
tumor growth. Our proposed Proteogenomic Data Analysis Center for Cancer Systems Biology and Clinical
Translation will develop new methods for better analyzing and integrating these data sets. In addition to
developing statistical and machine learning methods, we also emphasize visual exploration of the data, and we
will implement interactive web browser based visualization that will allow researchers to easily explore these
vast data sets and gain novel insights by being able to quickly switch between summary information and
details of the raw data.

## Key facts

- **NIH application ID:** 9998919
- **Project number:** 5U24CA210972-05
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Li Ding
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $619,256
- **Award type:** 5
- **Project period:** 2016-09-15 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9998919

## Citation

> US National Institutes of Health, RePORTER application 9998919, Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation (5U24CA210972-05). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9998919. Licensed CC0.

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