The Analytical Core led by Dr. Hongyu Zhao will support the statistics, bioinformatics, implementation, and data analysis needs of all the Projects of this Program Project. In coordination with the Administrative Core led by Dr. Yung-Chi Cheng, this Core will function to conduct statistical analysis of the clinical trial data from Project 1, assist in the analysis of potential biomarkers and their associations with patient responses from Project 2, and implement and apply the novel statistical methods to be developed in Project 3. This Core will also provide a training environment for program project personnel on software tools on data analysis and interpretation.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA154295-04
Application #
8727481
Study Section
Special Emphasis Panel (ZCA1-GRB-S)
Project Start
Project End
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
4
Fiscal Year
2014
Total Cost
$137,114
Indirect Cost
$52,346
Name
Yale University
Department
Type
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
Ryslik, Gregory A; Cheng, Yuwei; Cheung, Kei-Hoi et al. (2014) A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations. BMC Bioinformatics 15:86
Hou, Lin; Chen, Min; Zhang, Clarence K et al. (2014) Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies. Hum Mol Genet 23:2780-90
Ryslik, Gregory A; Cheng, Yuwei; Cheung, Kei-Hoi et al. (2014) A spatial simulation approach to account for protein structure when identifying non-random somatic mutations. BMC Bioinformatics 15:231
Saif, Muhammad Wasif; Li, Jia; Lamb, Lynne et al. (2014) First-in-human phase II trial of the botanical formulation PHY906 with capecitabine as second-line therapy in patients with advanced pancreatic cancer. Cancer Chemother Pharmacol 73:373-80
Chen, Xiaowei; Slack, Frank J; Zhao, Hongyu (2013) Joint analysis of expression profiles from multiple cancers improves the identification of microRNA-gene interactions. Bioinformatics 29:2137-45
Ryslik, Gregory A; Cheng, Yuwei; Cheung, Kei-Hoi et al. (2013) Utilizing protein structure to identify non-random somatic mutations. BMC Bioinformatics 14:190
Rockwell, Sara; Grove, Tina A; Liu, Yanfeng et al. (2013) Preclinical studies of the Chinese Herbal Medicine formulation PHY906 (KD018) as a potential adjunct to radiation therapy. Int J Radiat Biol 89:16-25
Liu, Shwu-Huey; Cheng, Yung-Chi (2012) Old formula, new Rx: the journey of PHY906 as cancer adjuvant therapy. J Ethnopharmacol 140:614-23