Ina Hoeschele
Professor
Statistics
Virginia Bioinformatics Institute
United States of America
Biography
Dr. Ina Hoeschele is currently working as a Professor in the Department of I12Statistics, , . His research interests includes statistical methods for genome-wide association studies (GWAS),GWAS of high-dimensional phenotypesstatistical design and analysis of 'omics experiments,penalized regression, Bayesian variable selection, error control, stability analysis,Gene network inference, causal inference. He /she is serving as an editorial member and reviewer of several international reputed journals. Dr. Ina Hoeschele is the member of many international affiliations. He/ She has successfully completed his Administrative responsibilities. He /she has authored of many research articles/books related to statistical methods for genome-wide association studies (GWAS),GWAS of high-dimensional phenotypesstatistical design and analysis of 'omics experiments,penalized regression, Bayesian variable selection, error control, stability analysis,Gene network inference, causal inference.
Research Interest
statistical methods for genome-wide association studies (GWAS),GWAS of high-dimensional phenotypesstatistical design and analysis of 'omics experiments,penalized regression, Bayesian variable selection, error control, stability analysis,Gene network inference, causal inference
Publications
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Liu Y, Ding J, Reynolds LM, et al. Methylomics of gene expression in human monocytes. Human molecular genetics. 2013:ddt356.
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Pinna A, Soranzo N, Hoeschele I, de la Fuente A. Simulating systems genetics data with SysGenSIM. Bioinformatics. 2011;27:2459–2462. http://www.ncbi.nlm.nih.gov/pubmed/21737438
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Zou F, Huang H, Lee S, Hoeschele I. Nonparametric Bayesian variable selection with applications to multiple quantitative trait loci mapping with epistasis and gene?environment interaction. Genetics. 2010;186:385–394.
