- Core A The purpose of the Biostatistics and Bioinformatics Core is to provide a comprehensive, multi-disciplinary resource of expertise in biostatistics and bioinformatics. Members of Core A will collaborate closely with investigators from each project in translating their hypotheses into testable statistical hypotheses and address the corresponding aims at all levels of investigation. This consists of designing basic and animal experiments, managing and maintaining the resulting data, data analysis and statistical and bioinformatics inference, and formulating new hypotheses based on discoveries arising from exploration and visualization of the integrated data. Core A serves as a focal point from which investigators may draw statistical and bioinformatics expertise for planning, management and analysis of their studies. It also develops, tests and implements various techniques of statistical analysis, including mathematical modeling, applicable to cancer research. Types of research supported include basic science and translational studies. The large volume of information to be generated in the proposed research projects and cores requires computer-based tools for the coordination of efforts and the management of data. The primary role of Core A will be to provide state-of-art biostatistics and bioinformatics methods and software pipelines for efficient data analysis and establish a centralized relational database system and data management structure that facilitates the entry, storage and retrieval of all data generated by the program project, and permits the controlled exchange of information across the several projects and cores. De-identified information will be available to all investigators associated with this program project. Due to the sensitive nature of the information stored by this Core, we will take extensive precautions to protect the confidentiality of participants. All IRB and HIPAA regulations will be strictly enforced. By providing data access to investigators, sharing technical capabilities, and ensuring the quality of the data, the data management component of this core will facilitate achievement of the project aims and encourage exploratory analyses beyond those stated.
- Core A The Biostatistics and Bioinformatics Core serves as a comprehensive, multi-disciplinary resource of expertise in biostatistics and bioinformatics to assist investigators from all projects to design their experiments, manage and maintain the large volume of data, make inferences regarding the stated aims, and formulate new hypotheses based on discoveries arising from exploration and visualization of the integrated data.
|Farach-Carson, Mary C; Lin, Sue-Hwa; Nalty, Theresa et al. (2017) Sex Differences and Bone Metastases of Breast, Lung, and Prostate Cancers: Do Bone Homing Cancers Favor Feminized Bone Marrow? Front Oncol 7:163|
|Stewart, Paul A; Khamis, Zahraa I; Zhau, Haiyen E et al. (2017) Upregulation of minichromosome maintenance complex component 3 during epithelial-to-mesenchymal transition in human prostate cancer. Oncotarget 8:39209-39217|
|Masko, Elizabeth M; Alfaqih, Mahmoud A; Solomon, Keith R et al. (2017) Evidence for Feedback Regulation Following Cholesterol Lowering Therapy in a Prostate Cancer Xenograft Model. Prostate 77:446-457|
|Jolly, Mohit Kumar; Boareto, Marcelo; Debeb, Bisrat G et al. (2017) Inflammatory breast cancer: a model for investigating cluster-based dissemination. NPJ Breast Cancer 3:21|
|Alfaqih, Mahmoud A; Allott, Emma H; Hamilton, Robert J et al. (2017) The current evidence on statin use and prostate cancer prevention: are we there yet? Nat Rev Urol 14:107-119|
|Guan, Yang; Zhang, Yi; Xiao, Li et al. (2017) Improving Therapeutic Potential of Farnesylthiosalicylic Acid: Tumor Specific Delivery via Conjugation with Heptamethine Cyanine Dye. Mol Pharm 14:1-13|
|Nandana, Srinivas; Tripathi, Manisha; Duan, Peng et al. (2017) Bone Metastasis of Prostate Cancer Can Be Therapeutically Targeted at the TBX2-WNT Signaling Axis. Cancer Res 77:1331-1344|
|Brennen, W Nathaniel; Zhang, Baohui; Kulac, Ibrahim et al. (2017) Mesenchymal stem cell infiltration during neoplastic transformation of the human prostate. Oncotarget 8:46710-46727|
|Tighiouart, Mourad; Cook-Wiens, Galen; Rogatko, André (2017) A Bayesian adaptive design for cancer phase I trials using a flexible range of doses. J Biopharm Stat :1-13|
|Tighiouart, Mourad; Li, Quanlin; Rogatko, André (2017) A Bayesian adaptive design for estimating the maximum tolerated dose curve using drug combinations in cancer phase I clinical trials. Stat Med 36:280-290|
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