Rachael Hageman Blair

PhD

Rachael Hageman Blair.

Rachael Hageman Blair

PhD

Rachael Hageman Blair

PhD

Associate Professor

Mathematical biology; optimization; numerical analysis; inverse problems; statistics and scientific computing; methodology development for mathematical modeling and simulation of metabolic and genetic networks; data analysis including microarray and quantitative trait loci.

Contact Information

709 Kimball

Buffalo NY, 14214

Phone: (716) 829-2814

Fax: (716) 829-2200

hageman@buffalo.edu

Overview Publications

Selected Publications

  • Mu L, Niu Zhongzheng, Hageman Blair R, Yu H, Browne RW, Bonner MR, Fanter T, Deng F, Swanson M (2019) Metabolomics profiling before, during and after the Beijing Olympics:  a panel study of within individual differences during periods of high and low air polllution 127(5):57010 Environmental Health Perspectives.
  • Yu H and Hageman Blair R (2019) Integration of probabilistic regulatory networks into constraint-based models of metabolism with applications to Alzheimer's disease. 20(386). BMC Bioinformatics.
  • Yu H, Moharil J, Hageman Blair R (in press) BayesNetBP an R package for probabilistic reasoning in Bayesian Networks. Journal of Statistical Software.
  • Yu H, Chapman B, Di Florio, Eischen E, Gotz D, Jacob M, Hageman Blair R (2018) Bootstrapping estimates of stability for clusters, observations and model selection, 1-24 Computational Statistics
  • Yu H and Hageman Blair R* (2016) A framework for attribute-based community detection with applications to integrative functional genomics. Pacific Symposium on Biocomputing 21:69-90.
  • Moharil J, May P, Gaile D, Hageman Blair R* (2016) Belief Propagation in Genotype-Phenotype networks. Statistical Applications in Genetics and Molecular Biology 15(1):39-53.
  • Hageman Blair R, Kliebenstein DJj, Churchill GA. (2012) What can causal networks tell us about metabolic pathways? PLoS Computational Biology 8(4):e10024258.