LEADER 01183nam0-2200349---450- 001 990009649590403321 005 20121126114002.0 010 $a9780821848456 035 $a000964959 035 $aFED01000964959 035 $a(Aleph)000964959FED01 035 $a000964959 100 $a20121126d2010----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $a--------001yy 200 1 $aNew perspectives in mathematical biology$fSiv Sivaloganathan editor 210 $aToronto$cFields institute for research in mathematical sciences$d2010 215 $aVI, 134 p.$d27 cm 225 1 $aFields Institute Communications$fThe Fields Institute for Research in Mathematical Sciences$v57 300 $aBased on the Society for mathematical biology (SMB) conference hekd in Toronto, July 29-August 2, 2008 610 0 $aBiomathematics Congresses 610 0 $aMathematical Biology 676 $a570.151 702 1$aSivaloganathan,$bSiv 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009649590403321 952 $a60 570.151 B 2$b14064$fFAGBC 959 $aFAGBC 996 $aNew perspectives in mathematical biology$9839956 997 $aUNINA LEADER 02891nam 22005653a 450 001 9910346851203321 005 20250203235427.0 010 $a9783038974345 010 $a303897434X 024 8 $a10.3390/books978-3-03897-434-5 035 $a(CKB)4920000000095155 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/42229 035 $a(ScCtBLL)c7695129-37ca-42ca-bd90-6a4c6e16fe0d 035 $a(OCoLC)1163814011 035 $a(EXLCZ)994920000000095155 100 $a20250203i20182019 uu 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBiological Networks$fRudiyanto Gunawan, Neda Bagheri 210 1$aBasel, Switzerland :$cMDPI,$d2018. 215 $a1 electronic resource (174 p.) 311 08$a9783038974338 311 08$a3038974331 330 $aNetworks of coordinated interactions among biological entities govern a myriad of biological functions that span a wide range of both length and time scales-from ecosystems to individual cells and from years to milliseconds. For these networks, the concept "the whole is greater than the sum of its parts" applies as a norm rather than an exception. Meanwhile, continued advances in molecular biology and high-throughput technology have enabled a broad and systematic interrogation of whole-cell networks, allowing the investigation of biological processes and functions at unprecedented breadth and resolution-even down to the single-cell level. The explosion of biological data, especially molecular-level intracellular data, necessitates new paradigms for unraveling the complexity of biological networks and for understanding how biological functions emerge from such networks. These paradigms introduce new challenges related to the analysis of networks in which quantitative approaches such as machine learning and mathematical modeling play an indispensable role. The Special Issue on "Biological Networks" showcases advances in the development and application of in silico network modeling and analysis of biological systems. 610 $aPathway crosstalk 610 $aAlzheimer?s disease 610 $aBioenergy crops 610 $aModel identification 610 $aMetabolic networks 610 $aHost?pathogen interactions 610 $aSingle cell 610 $aParameter sensitivity 610 $aTuberculosis 610 $aMultivariate statistical analysis 610 $aSystems biology 610 $aBiological networks 610 $aMathematical modeling 610 $aLignin biosynthesis 610 $aDesign of experiments 700 $aGunawan$b Rudiyanto$01787457 702 $aBagheri$b Neda 801 0$bScCtBLL 801 1$bScCtBLL 906 $aBOOK 912 $a9910346851203321 996 $aBiological Networks$94320912 997 $aUNINA