000			03440nam a22005175i 4500
001			u375891
003			SIRSI
005			20160812084346.0
007			cr nn 008mamaa
008			110310s2011 gw | s |||| 0|eng d
020			_a9783642196218 _9978-3-642-19621-8
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aNiiranen, Samuli. _eeditor.
245	1	0	_aInformation Processing and Biological Systems _h[recurso electrónico] / _cedited by Samuli Niiranen, Andre Ribeiro.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aX, 230 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aIntelligent Systems Reference Library, _x1868-4394 ; _v11
505	0		_aBiological 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.
520			_aLiving 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.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aBioinformatics.
650		0	_aBiological models.
650		0	_aPhysics.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aSystems Biology.
650	2	4	_aComputational Biology/Bioinformatics.
650	2	4	_aComplexity.
700	1		_aRibeiro, Andre. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642196201
830		0	_aIntelligent Systems Reference Library, _x1868-4394 ; _v11
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-19621-8
596			_a19
942			_cLIBRO_ELEC
999			_c203771 _d203771