000 04365nam a22005895i 4500
001 978-3-540-71037-0
003 DE-He213
005 20160624102104.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540710370
_9978-3-540-71037-0
024 7 _a10.1007/978-3-540-71037-0
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aKnowledge Discovery and Emergent Complexity in Bioinformatics
_h[electronic resource] :
_bFirst International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers /
_cedited by Karl Tuyls, Ronald Westra, Yvan Saeys, Ann Nowé.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aX, 184 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4366
505 0 _aKnowledge Discovery and Emergent Complexity in Bioinformatics -- Boolean Algebraic Structures of the Genetic Code: Possibilities of Applications -- Discovery of Gene Regulatory Networks in Aspergillus fumigatus -- Complexity Measures for Gene Assembly -- Learning Relations from Biomedical Corpora Using Dependency Trees -- Advancing the State of the Art in Computational Gene Prediction -- Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection -- The NetGenerator Algorithm: Reconstruction of Gene Regulatory Networks -- On the Neuronal Morphology-Function Relationship: A Synthetic Approach -- Analyzing Stigmergetic Algorithms Through Automata Games -- The Identification of Dynamic Gene-Protein Networks -- Sparse Gene Regulatory Network Identification.
520 _aThis book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006. In February 1943, the Austrian physicist Erwin Schrodi ¨ nger, one of the founding fathers of quantum mechanics, gave a series of lectures at Trinity College in Dublin titled “What Is Life? The Physical Aspect of the Living Cell and Mind. ” In these l- tures Schrodi ¨ nger stressed the fundamental differencesencountered between observing animate and inanimate matter, and advanced some, at the time, audacious hypotheses aboutthe nature andmolecularstructureof genes, some ten yearsbeforethe discoveries of Watson and Crick. Indeed, the rules of living matter, from the molecular level to the level of supraorganic ocking behavior, seem to violate the simple basic interactions found between fundamental particles as electrons and protons. It is as if the organic molecules in the cell ‘know’ that they are alive. Despite all external stochastic uct- tions and chaos, process and additive noise, this machinery has been ticking for at least 3. 8 billion years. Yet, we may safely assume that the laws that governphysicsalso steer these complex associations of synchronous and seemingly intentional dynamics in the cell.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aInformation storage and retrieval systems.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aProbability and Statistics in Computer Science.
700 1 _aTuyls, Karl.
_eeditor.
700 1 _aWestra, Ronald.
_eeditor.
700 1 _aSaeys, Yvan.
_eeditor.
700 1 _aNowé, Ann.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540710363
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4366
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-71037-0
942 _2EBK7502
_cEBK
999 _c36796
_d36796