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个人简介
Dr. Altman's interest in statistics stems from her broad interests in the application of the mathematical sciences to problems in other disciplines � in particular, medical and biological sciences, earth and environmental sciences, and social sciences. Her statistical interests include bioinformatics, high dimensional data, nonparametric smoothing, model selection and analysis of functional and longitudinal data. Dr. Altman's current research is in bioinformatics and dimension reduction.
Dr. Altman's bioinformatics work includes the design and analysis of microarray and RNA-seq studies, functional genomics and gene clustering (by position on the chromosome, by sequence structure, and by function). Much of this work is currently in collaboration with biologists such as Claude dePamphilis (plants) and Iliana Baums (coral). She also works in more applied areas such as social insects with Christina Grozinger and plant pathology with Tim McNellis. In medical bioinformatics, Dr. Altman has been working on single cell RNA-seq for circulating tumor cells with Gary Clawson, the analysis of microbiome data and on the analysis of protein microarrays for antigen analysis.
Altman's work in functional data analysis and nonparametric smoothing has focused on problems in which the errors are correlated, and parametric covariate effects are of interest. Current areas of interest include inference for self-modeling regression when curves are the response in a comparative experiment and fitting and inference for longitudinal and spatial data with a smooth component.
Altman's work in high dimensional data has taken two directions. She is working on multiple testing and other high dimensional estimation and testing problems which occur in parallel estimation and testing situations such as the analysis of `omics' data. She also works on dimension reduction focusing on extensions of supervised and unsupervised methods based on matrix decompositions.
研究兴趣
论文共 80 篇作者统计合作学者相似作者
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Nature Methodsno. 1 (2024): 4-6
Noah P. Winters,Eric K. Wafula,Benjamin J. Knollenberg,Tuomas Hamala,Prakash R. Timilsena,Melanie Perryman,Dapeng Zhang, Lena L. Sheaffer, Craig A. Praul,Paula E. Ralph,Sarah Prewitt,Mariela E. Leandro-Munoz,
BMC BIOLOGYno. 1 (2024)
NATURE METHODSno. 9 (2023): 1269-1270
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Nature Methodsno. 3 (2021): 224-225
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Encyclopedia of Machine Learningno. 11 (2021): 1270-1272
Nature Reviews Neuroscienceno. 11 (2020): 661-662
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