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001 9910751392603321
005 20231013061013.0
010   $a9789819942428$b(electronic bk.)
010   $z9789819942411
024 7 $a10.1007/978-981-99-4242-8
035   $a(MiAaPQ)EBC30787800
035   $a(Au-PeEL)EBL30787800
035   $a(DE-He213)978-981-99-4242-8
035   $a(PPN)27291939X
035   $a(CKB)28505136200041
035   $a(EXLCZ)9928505136200041
100   $a20231013d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBiological Networks in Human Health and Disease /$fedited by Romana Ishrat
205   $a1st ed. 2023.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023.
215   $a1 online resource (132 pages)
311 08$aPrint version: Ishrat, Romana Biological Networks in Human Health and Disease Singapore : Springer,c2023 9789819942411 
327   $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.
330   $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.
606   $aBioinformatics
606   $aDiseases
606   $aComputational and Systems Biology
606   $aBioinformatics
606   $aDiseases
615  0$aBioinformatics.
615  0$aDiseases.
615 14$aComputational and Systems Biology.
615 24$aBioinformatics.
615 24$aDiseases.
676   $a570.285
676   $a570.113
700   $aIshrat$b Romana$01432889
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910751392603321
996   $aBiological Networks in Human Health and Disease$93577966
997   $aUNINA