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dc.contributor.authorNeda Bagheri (Ed.)*
dc.contributor.authorRudiyanto Gunawan (Ed.)*
dc.date.accessioned2021-02-11T09:09:09Z
dc.date.available2021-02-11T09:09:09Z
dc.date.issued2019*
dc.date.submitted2019-01-10 11:14:23*
dc.identifier29842*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/42229
dc.description.abstractNetworks 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.*
dc.languageEnglish*
dc.subjectQH301-705.5*
dc.subjectTA1-2040*
dc.subjectRC109-216*
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.otherPathway crosstalk*
dc.subject.otherAlzheimer’s disease*
dc.subject.otherBioenergy crops*
dc.subject.otherModel identification*
dc.subject.otherMetabolic networks*
dc.subject.otherHost–pathogen interactions*
dc.subject.otherSingle cell*
dc.subject.otherParameter sensitivity*
dc.subject.otherTuberculosis*
dc.subject.otherMultivariate statistical analysis*
dc.subject.otherSystems biology*
dc.subject.otherBiological networks*
dc.subject.otherMathematical modeling*
dc.subject.otherLignin biosynthesis*
dc.subject.otherDesign of experiments*
dc.titleBiological Networks*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03897-434-5*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783038974345*
oapen.relation.isbn9783038974338*
oapen.pages174*
oapen.edition1st*


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/