P
Perry D. Haaland
Researcher at Becton Dickinson
Publications - 59
Citations - 2934
Perry D. Haaland is an academic researcher from Becton Dickinson. The author has contributed to research in topics: Cell culture & Antigen. The author has an hindex of 23, co-authored 59 publications receiving 2764 citations. Previous affiliations of Perry D. Haaland include Research Triangle Park.
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Journal ArticleDOI
flowCore: a Bioconductor package for high throughput flow cytometry.
Florian Hahne,Nolwenn LeMeur,Nolwenn LeMeur,Ryan R. Brinkman,Byron Ellis,Perry D. Haaland,Deepayan Sarkar,Josef Spidlen,Errol Strain,Robert Gentleman +9 more
TL;DR: A set of flexible open source computational tools in the R package flowCore that constitutes a shared and extensible research platform that enables collaboration between bioinformaticians, computer scientists, statisticians, biologists and clinicians will foster the development of novel analytic methods for flow cytometry.
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SiOx Gas Barrier Coatings on Polymer Substrates: Morphology and Gas Transport Considerations
A. G. Erlat,A. G. Erlat,Richard J. Spontak,R. P. Clarke,T. C. Robinson,Perry D. Haaland,Yelena G. Tropsha,N. G. Harvey,Erwin A. Vogler +8 more
TL;DR: In this article, a nonparametric response surface method was employed to identify the Magnetron-PECVD conditions responsible for superlative SiOx barrier coatings on poly(ethylene terephthalate) (PET).
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A systematic approach to planning for a designed industrial experiment
David E. Coleman,Douglas C. Montgomery,Berton H. Gunter,Gerald J. Hahn,Perry D. Haaland,Michael O'Connell,Ramón V. León,Anne C. Shoemaker,Kwok-Leung Tsui +8 more
TL;DR: In this article, the authors present a set of tools for presenting generic technical issues and experimental features found in industrial experiments. And they also help experimenters discuss complex trade-offs between practical limitations and statistical preferences in the experiment.
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Calibration and assay development using the four-parameter logistic model
TL;DR: In this article, the four-parameter logistic model is used to estimate the response-error relationship (RER) and the variance function is estimated via generalized least squares/variance function estimation (GLS/VFE).