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024 7 $a10.1007/978-94-007-5590-1
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035   $a(EBL)1083596
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100   $a20130202d2013      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aMicroRNA Cancer Regulation $eAdvanced Concepts, Bioinformatics and Systems Biology Tools /$fedited by Ulf Schmitz, Olaf Wolkenhauer, Julio Vera
205   $a1st ed. 2013.
210  1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2013.
215   $a1 online resource (350 p.)
225 1 $aAdvances in Experimental Medicine and Biology,$x2214-8019 ;$v774
300   $aDescription based upon print version of record.
311 08$a9789400755895 
311 08$a9400755899 
327   $aPreface -- 1 MicroRNAs in human cancer -- 2 Bioinformatics, non-coding RNAs and its possible application in personalized medicine  -- 3 MicroRNA target prediction and validation -- 4 MicroRNA-regulated networks: the perfect storm for classical molecular biology, the ideal scenario for systems biology -- 5 The p53/microRNA network in cancer: experimental and bioinformatics approaches.-6 MicroRNAs in melanoma biology -- 7 MicroRNA in the lung -- 8 The E2F1-miRNA cancer progression network -- 9 Modeling of microRNA-transcription factor networks in cancer -- 10 Coordinated networks of microRNAs and transcription factors with evolutionary perspectives -- 11 Mathematical modeling of microRNA-mediated mechanisms of translation repression -- 12 Web resources for microRNA research -- 13 Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data -- 14 Discovering the functional microRNA-mRNA regulatory modules in heterogeneous data -- 15 Elucidating the role of microRNAs in cancer through data mining techniques -- 16 Working together: Combinatorial regulation by microRNAs.  .
330   $aThis book reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and their applications in combination with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. The use of high-throughput quantitative techniques makes an integrative experimental and computational approach necessary. This book will be a resource for researchers starting out with microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology, and the state-of-the-art in computational microRNA biology.
410  0$aAdvances in Experimental Medicine and Biology,$x2214-8019 ;$v774
606   $aCancer
606   $aBioinformatics
606   $aMedicine$xResearch
606   $aBiology$xResearch
606   $aMolecular genetics
606   $aCancer Biology
606   $aBioinformatics
606   $aComputational and Systems Biology
606   $aBiomedical Research
606   $aMolecular Genetics
615  0$aCancer.
615  0$aBioinformatics.
615  0$aMedicine$xResearch.
615  0$aBiology$xResearch.
615  0$aMolecular genetics.
615 14$aCancer Biology.
615 24$aBioinformatics.
615 24$aComputational and Systems Biology.
615 24$aBiomedical Research.
615 24$aMolecular Genetics.
676   $a616.994042
701   $aSchmitz$b Ulf$01695053
701   $aWolkenhauer$b Olaf$f1966-$0895618
701   $aVera$b Julio$01759221
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437847803321
996   $aMicroRNA cancer regulation$94197615
997   $aUNINA