MiRNA Cancer Regulation
Advanced Concepts, Bioinformatics and Systems Biology Tools, Advances in Experim
Wolkenhauer, Olaf / Vera, Julio
Erschienen am
01.12.2012, Auflage: 1. Auflage
Beschreibung
InhaltsangabePreface1 MicroRNAs in human cancer2 Bioinformatics, non-coding RNAs and its possible application in personalized medicine3 MicroRNA target prediction and validation4 MicroRNA-regulated networks: the perfect storm for classical molecular biology, the ideal scenario for systems biology5 The p53/microRNA network in cancer: experimental and bioinformatics approaches6 MicroRNAs in melanoma biology7 MicroRNA in the lung8 The E2F1-miRNA cancer progression network9 Modeling of microRNA-transcription factor networks in cancer10 Coordinated networks of microRNAs and transcription factors with evolutionary perspectives11 Mathematical modeling of microRNA-mediated mechanisms of translation repression12 Web resources for microRNA research13 Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data14 Discovering the functional microRNA-mRNA regulatory modules in heterogeneous data15 Elucidating the role of microRNAs in cancer through data mining techniques16 Working together: Combinatorial regulation by microRNAs.
Autorenportrait
InhaltsangabePreface1 MicroRNAs in human cancer2 Bioinformatics, non-coding RNAs and its possible application in personalized medicine3 MicroRNA target prediction and validation4 MicroRNA-regulated networks: the perfect storm for classical molecular biology, the ideal scenario for systems biology5 The p53/microRNA network in cancer: experimental and bioinformatics approaches6 MicroRNAs in melanoma biology7 MicroRNA in the lung8 The E2F1-miRNA cancer progression network9 Modeling of microRNA-transcription factor networks in cancer10 Coordinated networks of microRNAs and transcription factors with evolutionary perspectives11 Mathematical modeling of microRNA-mediated mechanisms of translation repression12 Web resources for microRNA research13 Discovery of microRNA regulatory networks by integrating multidimensional high-throughput data14 Discovering the functional microRNA-mRNA regulatory modules in heterogeneous data15 Elucidating the role of microRNAs in cancer through data mining techniques16 Working together: Combinatorial regulation by microRNAs.