Faculty & Staff
Biographical Info
- High throughput identifier mapping
- Ethical design and execution of clinical trials
- Applications of biostatistics in cancer research
- Software architecture for comprehensive modeling and validation
- Multi-scale modeling in cancer
- Strategies for overcoming drug resistance in cancer
- How pharmaceutical and biological interactions should be statistically modeled
Day leads the Educational Resource for Tumor Heterogeneity, and continues the evolution of the Oncology Thinking Cap computer modeling facility. These projects use stochastic models of tumor growth to help cancer researchers do thought experiments about cancer biology and treatment, with the goal of improving translational research resources.
Interpreting dose information from disease-free survival curves in adjuvant breast cancer treatment; tracking genetic evolution of breast cancers through molecular studies of individual cells in tumor cell samples and through modeling.
Statistical modeling of events and effects in biology and medicine, development of methods more effective than the usual linear modeling.
Day RS. Want a letter? You write it for me. Science. 2016 Jan 8;351(6269):198. PMID: 26744407 DOI: 10.1126/science.351.6269.198
Archer KJ, Dobbin K, Biswas S, Day RS, Wheeler DC, Wu H. (2015). Computer Simulation, Bioinformatics, and Statistical Analysis of Cancer Data and Processes. Cancer Informatics, 14 (Suppl 2), 247–251. PMID: 26380548. PMCID: PMC4559198. DOI: 10.4137/CIN.S32525.
Day RS. What Tumor Dynamics Modeling Can Teach us About Exploiting the Stem-Cell View for Better Cancer Treatment. Cancer Informatics. 2015 Feb 24;14(Suppl 2):25-36. doi: 10.4137/CIN.S17294. eCollection 2015. PMID: 25780337. PMCID: PMC434585.
McDade KK, Chandran U, Day RS. Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering. Cancer Inform. 2015 Dec 16;14:149-61. doi: 10.4137/CIN.S33076. eCollection 2015. PMID: 26715829. PMCID: PMC4686346.
Day RS, McDade KK. (2013). A decision theory paradigm for evaluating identifier mapping and filtering methods using data integration. BMC Bioinformatics, 14, 223. PMID: 23855655 PMCID: PMC3734162 DOI: 10.1186/1471-2105-14-223
Risinger JI, Allard J, Chandran U, Day R, Chandramouli GV, Miller C, Zahn C, Oliver J, Litzi T, Marcus C, Dubil E, Byrd K, Cassablanca Y, Becich M, Berchuck A, Darcy KM, Hamilton CA, Conrads TP, Maxwell GL. Gene expression analysis of early stage endometrial cancers reveals unique transcripts associated with grade and histology but not depth of invasion. Front Oncol. 2013 Jun 17;3:139. doi: 10.3389/fonc.2013.00139. Print 2013. PMID: 23785665. PMCID: PMC3683664.
Day RS, McDade K, Grover H, Luthra S, Chandran U, Lisovich A. Bioinformatic Data Integration to Assess Data Preprocessing. In: Proceedings of the AMIA Joint Summit on Translational Science; 2012 Mar 19-21; San Francisco, CA.
Buch SC, Diergaarde B, Nukui T, Day RS, Siegfried JM, Romkes M, Weissfeld JL. (2012). Genetic variability in DNA repair and cell cycle control pathway genes and risk of smoking-related lung cancer. Molecular Carcinogenesis, 51 (Suppl 1), E11–E20. PMID: 21976407 PMCID: PMC3289753 DOI: 10.1002/mc.20858.
Day RS, McDade KK, Chandran UR, Lisovich A, Conrads TP, Hood BL, Kolli VS, Kirchner D, Litzi T, Maxwell GL. Identifier mapping performance for integrating transcriptomics and proteomics experimental results. BMC Bioinformatics. 2011 May 27;12:213. http://doi.org/10.1186/1471-2105-12-213. PMID: 21619611 PMCID: PMC3124437
Zeng X, Hood BL, Zhao T, Conrads TP, Sun M, Gopalakrishnan V, Grover H, Day RS, Weissfeld JL, Siegfried JM, Bigbee WL. Lung Cancer Serum Biomarker Discovery Using Label Free Liquid Chromatography-Tandem Mass Spectrometry. J Thorac Oncol. 2011 Apr;6(4):725-34. PMCID:PMC3104087.
Wang M, Day RS. Adaptive Bayesian design for phase I dose-finding trials using a joint model of response and toxicity. 2010 Jan. J Bioppharm Stat. 20(1), 125-44.