Description For freshman-level, two-semester or three-semester courses in Calculus for Life Sciences. Shows students how calculus is used to analyze phenomena in nature -- while providing flexibility for instructors to teach at their desired level of rigor Calculus for Biology and Medicine motivates life and health science majors to learn calculus through relevant and strategically placed applications to their chosen fields. It presents the calculus in such a way that the level of rigor can be adjusted to meet the specific needs of the audience -- from a purely applied course to one that matches the rigor of the standard calculus track. In the 4th Edition, new co-author Marcus Roper UCLA partners with author Claudia Neuhauser to preserve these strengths while adding an unprecedented number of real applications and an infusion of modeling and technology.

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Theoretical ecology, Role of space in community dynamics, Theoretical population genetics, Coalescent theory, Statistical genomics Ph. UMII fosters and accelerates data-intensive research across all disciplines in the University and develops partnership with industry.

My research is at the interface of mathematics and biology, and has ranged from studying the effect of competition on the spatial structure of competitors to the effect of symbionts on the spatial distribution of their hosts or the effect of virotherapy on clusters of cancer cells. Currently, my research is primarily in the area of bioinformatics and computational biology where I am developing statistical methods ranging from detecting genomic signatures of cancer and other complex diseases in next-generation sequencing data to building dynamic protein-protein networks based on flow cytometry data.

In addition, I have a strong interest in furthering the quantitative training of biology undergraduate students, which has resulted in a textbook on Calculus for Biology and Medicine. The programmatic focus of the BICB graduate program is at the interface of quantitative sciences, medicine, and biology.

A framework for accurate variant discovery in highly divergent regions. BMC Genomic Smith, S. Neier, B. Reed, R. R, Davis, D. Gil, J. P, Sinnwell, J. Eckel-Passow, G. Sciallis, C. Wieland, R. Torgerson, Z. Chen, J. McClusky, S. Burrows, C. Neuhauser, A. Multiplex matrix network analysis of physiologic protein complexes in the human TCR signalosome. Science Signaling rs7 DOI: Cooper, C. Neuhauser, T.

Dean, and B. Tipping the mutation-selection balance: Limited migration increases the frequency of deleterious mutants. Journal of Theoretical Biology, Clinical Chemistry , A simple method for gene phasing using mate pair sequencing. Beckman, C. Neuhauser, and H. The interacting effects of clumped seed dispersal and distance- and density-dependent natural enemy attack on seedling recruitment patterns. Journal of Ecology 4 : Voter model and biased voter model in heterogeneous environment.

Journal of Applied Probability Neuhauser, D. Andow, G. Heimpel, G. May, R. Shaw, and S. Wagenius Chesson, S. Environmental niches and ecosystem functioning. In Biodiversity and Ecosystem Functioning. Pacala An explicitly spatial version of the Lotka-Volterra model with interspecific competition. Annals of Applied Probability C. Krone The Genealogy of Samples in Models with Selection. Additional Links.


Claudia Neuhauser



Calculus For Biology and Medicine, 3rd Edition


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