BIOSTATISTICS AND INFORMATICS Director: Chap T. Le, Ph.D. The primary objective of the Biostatistics and Informatics shared resource of the University of Minnesota Cancer Center is to provide centralized biostatistics and bioinfofmatics services, collaborative research and data management support for the research projects of all members of the University of Minnesota Cancer Center. This resource serves as the focal point from which investigators and their team members and/or associates at the University of Minnesota Cancer Center can draw biostatistics and bioinformatics expertise for the design, data management and analysis of their research projects.
The specific aims of the core are to provide: biostatistics and bioinformatics expertise in study design, including endpoint definition, sample size estimation and power calculation, randomization procedures, data collection form design, plans for report generation, interim reviews, and final analysis; biostatistics and bioinformatics analyses and informatics support for all cancer research projects using contemporary statistical and computing methodologies;and data management support for the development and management of all research projects, as well as research-specific databases by all investigators and their team and/or associates at the University of Minnesota Cancer Center. Biostatistics and Informatics is a shared resource of the University of Minnesota Cancer Center;it may draw more support from faculty of the Division of Biostatistics, School of Public Health, if and when heeded;but it is operating within the Cancer Center, independent of the Division of Biostatistics. All members, research programs and other shared resourcess of the University of Minnesota Cancer Center are supported by Biostatistics and Informatics.
|Sarver, Aaron L; Murray, Collin D; Temiz, Nuri A et al. (2016) MYC and PVT1 synergize to regulate RSPO1 levels in breast cancer. Cell Cycle 15:881-5|
|Diep, Caroline H; Knutson, Todd P; Lange, Carol A (2016) Active FOXO1 Is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming. Mol Cancer Res 14:141-62|
|Yun, Young Sung; Kim, Kwan Hyun; Tschida, Barbara et al. (2016) mTORC1 Coordinates Protein Synthesis and Immunoproteasome Formation via PRAS40 to Prevent Accumulation of Protein Stress. Mol Cell 61:625-39|
|Yan, Y; Hanse, E A; Stedman, K et al. (2016) Transcription factor C/EBP-Î² induces tumor-suppressor phosphatase PHLPP2 through repression of the miR-17-92 cluster in differentiating AML cells. Cell Death Differ 23:1232-42|
|Beura, Lalit K; Hamilton, Sara E; Bi, Kevin et al. (2016) Normalizing the environment recapitulates adult human immune traits in laboratory mice. Nature 532:512-6|
|Than, B L N; Linnekamp, J F; Starr, T K et al. (2016) CFTR is a tumor suppressor gene in murine and human intestinal cancer. Oncogene 35:4179-87|
|Struntz, Nicholas B; Harki, Daniel A (2016) Catch and Release DNA Decoys: Capture and Photochemical Dissociation of NF-ÎºB Transcription Factors. ACS Chem Biol 11:1631-8|
|Knorr, David A; Wang, Hongbo; Aurora, Mukta et al. (2016) Loss of T Follicular Helper Cells in the Peripheral Blood of Patients with Chronic Graft-versus-Host Disease. Biol Blood Marrow Transplant 22:825-33|
|Glasgow, Michelle; Vogel, Rachel Isaksson; Burgart, Jennifer et al. (2016) Long term follow-up of a phase II trial of multimodal therapy given in a "sandwich" method for stage III, IV, and recurrent endometrial cancer. Gynecol Oncol Res Pract 3:6|
|Felices, Martin; Lenvik, Todd R; Davis, Zachary B et al. (2016) Generation of BiKEs and TriKEs to Improve NK Cell-Mediated Targeting of Tumor Cells. Methods Mol Biol 1441:333-46|
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