Lingling An

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Lingling An

Associate Professor, Agricultural-Biosystems Engineering
Associate Professor, Public Health
Associate Professor, Statistics-GIDP
Associate Professor, BIO5 Institute
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Biosystems Engineering
Department Affiliations
Biosystems Engineering
BIO5 Institute
Contact
(520) 621-1248
anling@arizona.edu

Research Interest

Lingling An, PhD, conducts research in the interdisciplinary boundaries of many fields such as statistical sciences, biological and medical sciences, genomics and genetics. Her statistical group's major research interests include development and application of statistical and computational methods for analysis of high-dimensional genomic/genetic, metagenomic/ metatranscriptomic, and epigenomic data. The overlying vision is to develop rigorous, timely and useful statistical and computational methodologies to help biologists/geneticists to ask, answer, and disseminate biologically interesting information in the quest to understand the ultimate function of DNA and gene network.

Publications

Kadiyala, V. -., Patrick, N., Mathieu, W., Jaime-Frias, R., Pookhao, N., An, L. -., & Smith, C. L. (2013). Class I lysine deacetylases facilitate glucocorticoid-induced transcription.. Journal of Biology Chemistry, 288, 28900-12.
Sohn, M., An, L. -., Pookhao, N., & Li, Q. (2014). Accurate Genome Relative Abundance Estimation for Closely Related Species in a Metagenomic Sample. BMC Bioinformatics.
An, L. -., Piegorsch, W. W., Wickens, A., West, W., Pena, E., & Wu, W. (2013). nformation-theoretic model-averaged benchmark dose analysis in environmental risk assessment. Environmetrics, 24, 143-157.

W. Piegorsch and L. An are co-first authors.

An, L. (2015). Investigating microbial co-occurrence patterns based on meta-genomic compositional data. Bioinformatics.
An, L. (2015). Classification, predictive modelling, and statistical analysis of cancer data.. Cancer Informatics.

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