## An Invitation to BiomathematicsRaina Robeva, James R. Kirkwood, Robin Lee Davies, Leon Farhy, Boris P. Kovatchev, Martin Straume, Michael L. Johnson Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach. An Invitation to Biomathematics, expertly written by a team of experienced educators, offers students a solid understanding of solving biological problems with mathematical applications. This text succeeds in enabling students to truly experience advancements made in biology through mathematical models by containing computer-based hands-on laboratory projects with emphasis on model development, model validation, and model refinement.The supplementary work, Laboratory Manual of Biomathematics is available separately ISBN 0123740223, or as a set ISBN: 0123740290)* Provides a complete guide for development of quantification skills crucial for applying mathematical methods to biological problems * Includes well-known examples from across disciplines in the life sciences including modern biomedical research * Explains how to use data sets or dynamical processes to build mathematical models * Offers extensive illustrative materials * Written in clear and easy-to-follow language without assuming a background in math or biology * A laboratory manual is available for hands-on, computer-assisted projects based on material covered in the text |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

1 | |

Complex Dynamics Emerging from Interacting Dynamical Systems | 53 |

Mathematics in Genetics | 99 |

Quantitative Genetics and Statistics | 129 |

Risk Analysis of Blood Glucose Data | 151 |

Predicting Septicemia in Neonates | 181 |

Cooperative Binding How Your Blood Transports Oxygen | 211 |

Ligand Binding Data Fitting and LeastSquares Estimates of Model Parameters | 233 |

### Other editions - View all

### Common terms and phrases

AaBb algorithm alleles amplitude analysis approximately assume assumptions average behavior BG levels binding biological blood bloodstream calculated capita growth rate cDNA cell Chapter circadian rhythms clinical cluster compute constant corresponding curve data points data set decelerations deconvolution decrease described determine detrended diabetes disease drug dt ¼ elimination endocrine equilibrium point estimated example Exercise experimental feedback fractional saturation frequency function gene expression genetic genotype graph HbA1c hemoglobin hormone concentration hypoglycemia increases infection interactions LBGI least-squares linear logistic mathematical model matrix mean measure methods microarray molecules mRNA nonlinear normal distribution null hypothesis oscillations parameters patterns period period gene phase phenotype protein Punnett square random variable represents risk risk function RRIs SampEn sample secretion events sepsis shown in Figure simulated SIR model SMBG solution specific statistical T1DM T2DM trajectories U.S. population values variance WSSR zero