Eaton JW, Bateman D, Hauberg S, Wehbring R. GNU Octave version 3.8.1 manual: a high-level interactive language for numerical ... Lammertsma A, Hume
S. Simplified reference tissue model for PET receptor studies. ... Renkin E.
Transport of potassium-42 from blood to tissue in isolated mammalian skeletal
Author: Fabian Kiessling
This textbook is a practical guide to the use of small animal imaging in preclinical research that will assist in the choice of imaging modality and contrast agent and in study design, experimental setup, and data evaluation. All established imaging modalities are discussed in detail, with the assistance of numerous informative illustrations. While the focus of the new edition remains on practical basics, it has been updated to encompass a variety of emerging imaging modalities, methods, and applications. Additional useful hints are also supplied on the installation of a small animal unit, study planning, animal handling, and cost-effective performance of small animal imaging. Cross-calibration methods and data postprocessing are considered in depth. This new edition of Small Animal Imaging will be an invaluable aid for researchers, students, and technicians involved in research into and applications of small animal imaging.
References 10. 11. 12. 13. 14. 15. 16. 17. 1. Ashburner, M., et al.: Gene ontology:
tool for the unification of biology. Gene Ontology Consortium ... 42(D1), D472–
D477 (2014) 5. Dada, J.O., et al.: SBRML: a ... Eaton, J.W., et al.: GNU Octave
version 3.0.1 manual: a high-level interactive language for numerical
Author: Ezio Bartocci
This book constitutes the refereed proceedings of the 14th International Conference on Computational Methods in Systems Biology, CMSB 2016, held in Cambridge, UK, in September 2016. The 20 full papers, 3 tool papers and 9 posters presented were carefully reviewed and selected from 37 regular paper submissions. The topics include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.