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Professor, Virginia Bioinformatics Institute Professor, Department of Statistics, Virginia Tech Adjunct Professor, Department of Cancer Biology, Biostatistics Core Member, Comprehensive Cancer Center, Wake Forest University School of
Medicine, Winston-Salem, NC Adjunct Professor, Virginia Tech Carilion School of Medicine
Phone: (540) 231-3135
Email: inah@vbi.vt.edu
Fax: 540-231-2606
Administrative Specialist: Kimberly Clifton Phone: (540) 231-9882 Email: kimvt05@vbi.vt.edu Fax:540-231-2606
Hoeschele Research Group |
Publications
| SysGenSIM
Professional Preparation
- Hohenheim University, Stuttgart, Germany, Quantitative Genetics and Biometry, Ph.D., 1986
- German National Science Foundation Postdoctoral Fellow, Department of Animal Sciences, University of Illinois at Champaign-Urbana, 1987
- German National Science Foundation Postdoctoral Fellow, Departments of Animal Science and Statistics, Iowa State University, 1986-1987
- German Foreign Academic Exchange Organization (DAAD) Fellow, Station de Genetique Quantitative et Appliquee, Jouy-en-Josas, France, 1985
Research Interests - Statistical genetics
- Genetical Systems Biology
- QTL linkage mapping
- genome-wide association mapping (GWAS)
- statistical design and analysis of 'omics experiments
- Bayesian parametric and nonparametric methods
- High-dimensional variable selection and feature extraction
Biography Dr. Hoeschele has been a Professor at the Virginia Bioinformatics Institute and in the Department of Statistics at Virginia Tech since 2002. Prior to this appointment, Dr. Hoeschele was Assistant and Associate Professor and Professor of Statistical Genetics in the Department of Dairy Science at Virginia Tech. Dr. Hoeschele was a Visiting Professor at the University of New England (Australia) in 1993, at Wageningen Agricultural University (The Netherlands) in 1995, and in the Statistics Department at North Carolina State University in 1999. Dr. Hoeschele has served and continues to serve as the Principal Investigator on smallerstatistical methodology grants and as statistics co-Investigator on large, collaborative grants in Genetical Systems Biology. Dr. Hoeschele is a member of the Biostatistics Core of the Comprehensive Cancer Center and an Adjunct Professor in the Department of Cancer Biology at the Wake Forest University School of Medicine in Winston-Salem (NC), and an Adjunct Professsor in the Virginia Tech Carilion School of Medicine. Dr. Hoeschele's current statistical methodology research focuses on high-dimensional QTL mapping, multi-omics data integration and causal network inference in Genetical Systems Biology. Dr. Hoeschele's current collaborative research focuses on the epigenomics, in combination with transcriptomics and DNA variation, of atherosclerosis, in collaboration with Dr. Yongmei Liu of Wake Forest University. Most recently, she has become involved in a genomics approach to study brain cancer in dogs as a model for humans in collaboration with Dr. John Robertson of the VA-MD Regional College of Veterinary Medicine.
Selected Publications
Hanwen Huang, Haibo Zhou, Fuxia Cheng, Ina Hoeschele, Fei Zou. Gaussian Process Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping. Biometrics. 2009;9999.
Liu B, Hoeschele I, de la Fuente A. Inferring gene regulatory networks from genetical genomics data. In: Das S, Caragea D, Hsu WH, Welsh SM, eds. Computational methodologies in gene regulatory networks. IGI Global; 2009:In press.
Zhou L, Mideros S, Bao L, et al. Infection and genotype remodel the entire soybean transcriptome. BMC Genomics. 2009;10:49.
Gao G, Allison DB, Hoeschele I. Haplotyping Methods for Pedigrees. Human Heredity. 2009;67:248–266.
Liu B, de la Fuente A, Hoeschele I. Gene network inference via structural equation modeling in genetical genomics experiments. Genetics. 2008;178:1763–1776.
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