00000cmm a22000004i 4500 UP-99796217611211824 Buklod 20140423085553.0 m go j cr cn |||aaaaa 110310s2011 xx u | eng d 9783642196218(eBook) (iLib)UPD-00214607943 DLC DML eng DMLUC QH507 I545 2011eb Niiranen, Samuli. editor. Information Processing and Biological Systems [electronic resource] Samuli Niiranen, Andre Ribeiro, editors. Berlin, Heidelberg Springer Berlin Heidelberg 2011. 1 online resource (x, 228 p.) ill. Biological Information and Natural Selection -- Swarm-based Simulations for Immunobiology -- Biological Limits of Hand Preference Learning Hiding Behind the Genes -- Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks -- Boolean Threshold Networks: Virtues and Limitations for Biological Modeling -- Structure-dynamics relationships in biological networks -- Large-scale statistical inference of gene regulatory networks: Local network-based measures -- Information Propagation in the Long-Term Behavior of Gene Regulatory Networks -- Natural Language and Biological Information Processing. IP-based subscription, access limited to within on campus computer network. Access via Electronic resources of the UPD University Library Website. Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through Springerlink. Information theory in biology. Biological systems. Artificial intelligence. Bioinformatics. Systems Biology. Computer Simulation. Gene Expression Regulation. Systems Theory. Electronic book. Ribeiro, Andre. editor. SpringerLink (Online service). Springer eBooks. Printed edition 9783642196201. Available for University of the Philippine Diliman via Springerlink. Click here to access http://link.springer.com/book/10.1007/978-3-642-19621-8 FO Monograph UPD DMLR Electronic Resource