001482636 000__ 03799cam\\22005777i\4500
001482636 001__ 1482636
001482636 003__ OCoLC
001482636 005__ 20231128003344.0
001482636 006__ m\\\\\o\\d\\\\\\\\
001482636 007__ cr\cn\nnnunnun
001482636 008__ 231024s2023\\\\si\a\\\\o\\\\\000\0\eng\d
001482636 019__ $$a1404350324$$a1404408499$$a1404444959
001482636 020__ $$a9789819942428$$q(electronic bk.)
001482636 020__ $$a981994242X$$q(electronic bk.)
001482636 020__ $$z9819942411
001482636 020__ $$z9789819942411
001482636 0247_ $$a10.1007/978-981-99-4242-8$$2doi
001482636 035__ $$aSP(OCoLC)1405859644
001482636 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLKB$$dEBLCP$$dYDX$$dOCLCO$$dOCLCF
001482636 049__ $$aISEA
001482636 050_4 $$aQH324.2$$b.B56 2023
001482636 08204 $$a570.1/13$$223/eng/20231024
001482636 24500 $$aBiological networks in human health and disease /$$cRomana Ishrat, editor.
001482636 264_1 $$aSingapore :$$bSpringer,$$c2023.
001482636 300__ $$a1 online resource (160 pages) :$$billustrations (black and white, and color).
001482636 336__ $$atext$$btxt$$2rdacontent
001482636 337__ $$acomputer$$bc$$2rdamedia
001482636 338__ $$aonline resource$$bcr$$2rdacarrier
001482636 5050_ $$aChapter 1. Graph Theory in the Biological Networks -- Chapter 2. Biological Networks Analysis -- Chapter 3. Network Analysis based software packages, tools, and web servers to accelerate bioinformatics research -- Chapter 4. Networks Analytics of Heterogeneous Big Data -- Chapter 5. Network Medicine: Methods and Applications -- Chapter 6. Role of R in Biological Network Analysis -- Chapter 7. Machine Learning in Biological Networks.
001482636 506__ $$aAccess limited to authorized users.
001482636 520__ $$aThis book presents methods and tools of network biology and bioinformatics for understanding the disease dynamics and identification of drug targets. The initial section of chapters introduce the theoretical aspects followed by the different applications for construction and analysis of biological networks, methods for identifying crucial nodes in networks, and network dynamics. The book covers the latest advances in the network medicine, exploring the different types of biological networks, and their applications. It further reviews the role of R language in the network-based approaches that help in understanding biological systems and identifying biological functions. Towards the end, the book explores the recent developments and applications in machine learning and its potential for advancing network biology. Finally, the book elucidates a comprehensive yet a representative description of challenges associated with the understanding of disease dynamics using network biology. Given its scope, the book is intended for researchers and advanced postgraduate students of bioinformatics, computational biology, and medical sciences.
001482636 588__ $$aDescription based on print version record.
001482636 650_6 $$aBiologie systémique.
001482636 650_6 $$aMaladies$$xModèles mathématiques.
001482636 650_6 $$aChimiothérapie.
001482636 650_6 $$aIntelligence artificielle en médecine.
001482636 650_0 $$aSystems biology.$$xMarine biology$$0(DLC)sh 85066221
001482636 650_0 $$aDiseases$$xMathematical models.$$xPatients$$xFamily relationships$$0(DLC)sh2009114532
001482636 650_0 $$aChemotherapy.
001482636 650_0 $$aArtificial intelligence$$xMedical applications.$$xMedical applications$$0(DLC)sh 88003000
001482636 655_0 $$aElectronic books.
001482636 7001_ $$aIshrat, Romana,$$eeditor.
001482636 77608 $$iPrint version:$$tBIOLOGICAL NETWORKS IN HUMAN HEALTH AND DISEASE.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z9819942411$$w(OCoLC)1385449994
001482636 852__ $$bebk
001482636 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-4242-8$$zOnline Access$$91397441.1
001482636 909CO $$ooai:library.usi.edu:1482636$$pGLOBAL_SET
001482636 980__ $$aBIB
001482636 980__ $$aEBOOK
001482636 982__ $$aEbook
001482636 983__ $$aOnline
001482636 994__ $$a92$$bISE