LEADER 01052nam0-22003371i-450- 001 990002587490403321 035 $a000258749 035 $aFED01000258749 035 $a(Aleph)000258749FED01 035 $a000258749 100 $a20000920d1995----km-y0itay50------ba 101 0 $aENG 200 1 $aSteady denotation waves in classical and discrete kinetic theory$fR. Monaco, M. Pandolfi Bianchi e A.J. Soares. 210 $aTorino$cPolitecnico di Torino$d1995. 215 $a19 p.$d31 cm 225 1 $aRapporto interno$fDipartimento di matematica, Politecnico di Torino$v11 610 0 $aReports 610 0 $aRapporti interni 610 0 $aWorking paper 676 $a519 700 1$aMonaco,$bRoberto$053085 702 1$aPandolfi Bianchi,$bM. 702 1$aSoares,$bA. J. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002587490403321 952 $aMXXXII-C-10$b3772$fMAS 959 $aMAS 996 $aSteady denotation waves in classical and discrete kinetic theory$9435168 997 $aUNINA DB $aING01 LEADER 05036nam 22007575 450 001 9910502971803321 005 20251113185428.0 010 $a3-030-85633-X 024 7 $a10.1007/978-3-030-85633-5 035 $a(CKB)4100000012026212 035 $a(MiAaPQ)EBC6725912 035 $a(Au-PeEL)EBL6725912 035 $a(OCoLC)1268259160 035 $a(PPN)258051159 035 $a(DE-He213)978-3-030-85633-5 035 $a(EXLCZ)994100000012026212 100 $a20210821d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Methods in Systems Biology $e19th International Conference, CMSB 2021, Bordeaux, France, September 22?24, 2021, Proceedings /$fedited by Eugenio Cinquemani, Loïc Paulevé 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (292 pages) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v12881 311 08$a3-030-85632-1 320 $aIncludes bibliographical references and index. 327 $aReducing Boolean Networks with Backward Boolean Equivalence -- Abstraction of Markov Population Dynamics via Generative Adversarial Nets -- Greening R. Thomas? Framework with Environment Variables: a Divide and Conquer Approach -- Automated inference of production rules for glycans -- Compiling Elementary Mathematical Functions into Finite Chemical Reaction Networks via a Polynomialization Algorithm for ODEs -- Interpretable exact linear reductions via positivity -- Explainable artificial neural network for recurrent venous thromboembolism based on plasma proteomics -- Neural networks to predict survival from RNA-seq data in oncology -- Microbial Community Decision Making Models in Batchand Chemostat Cultures.-Learning Boolean controls in regulated metabolic networks: a case-study -- Population design for synthetic gene circuits -- Nonlinear pattern matching in rule-based modeling languages -- Protein noise and distribution in a two-stage gene-expression model extended by an mRNA inactivation loop -- Aeon 2021: Bifurcation Decision Trees in Boolean Networks -- LNetReduce: tool for reducing linear dynamic networks with separated time scales -- ppsim: A software package for efficiently simulating and visualizing population protocols -- Web-based Structural Identifiability Analyzer BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems. 330 $aThis book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22?24, 2021.* The 13 full papers and 5 tool papers were carefully reviewed and selected from 32 submissions. The topics of interest include biological process modelling; biological system model verification, validation, analysis, and simulation; high-performance computational systems biology; model inference from experimental data; multi-scale modeling and analysis methods; computational approaches for synthetic biology; machine learning and data-driven approaches; microbial ecology modelling and analysis; methods and protocols for populations and their variability; models, applications, and case studies in systems and synthetic biology. The chapters "Microbial Community Decision Making Models in Batch", "Population design for synthetic gene circuits", "BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems" are published open access under a CC BY license (Creative Commons Attribution 4.0 International License). * The conference was held in a hybrid mode due to the COVID-19 pandemic. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v12881 606 $aBioinformatics 606 $aArtificial intelligence 606 $aSoftware engineering 606 $aDatabase management 606 $aComputer science 606 $aComputer networks 606 $aComputational and Systems Biology 606 $aArtificial Intelligence 606 $aSoftware Engineering 606 $aDatabase Management System 606 $aTheory of Computation 606 $aComputer Communication Networks 615 0$aBioinformatics. 615 0$aArtificial intelligence. 615 0$aSoftware engineering. 615 0$aDatabase management. 615 0$aComputer science. 615 0$aComputer networks. 615 14$aComputational and Systems Biology. 615 24$aArtificial Intelligence. 615 24$aSoftware Engineering. 615 24$aDatabase Management System. 615 24$aTheory of Computation. 615 24$aComputer Communication Networks. 676 $a570.285 702 $aCinquemani$b Eugenio 702 $aPauleve?$b Loi?c 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502971803321 996 $aComputational Methods in Systems Biology$92907803 997 $aUNINA