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Titlebook: Unconventional Computation and Natural Computation; 12th International C Giancarlo Mauri,Alberto Dennunzio,Antonio E. Porre Conference proc

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Andrzej Ehrenfeucht,Grzegorz Rozenbergtructed and gave an average overall prediction accuracy of 0.8872 in cross-validation tests. The classifier was then applied to miRNAs in the MTDN. Functions enriched by dysregulated targets of novel predicted miRNAs were closely associated with oncogenesis. In addition, predicted cancer miRNAs with
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Maria Paola Bianchi,Carlo Mereghetti,Beatrice Palanoc bodies. The focus of this chapter is on understanding the signaling complexity of the extrinsic apoptotic pathway using systems biology. We summarize the main signaling paradigms and the major models of the extrinsic pathway. The development of these models has elucidated new insights into the reg
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Olivier Bournez,Jonas Lefèvree produced in biological systems starting with the reaction of NO with O.. to form the highly reactive RNS peroxynitrite (ONOO.) that, unlike NO or O.., is a very strong oxidant and nitrating agent. Thus, despite both NO and O.. being free radicals, neither are as reactive as ONOO., and the toxicity
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Cristian S. Calude,Kohtaro Tadakiical adaptation of seaweeds is limited. The whole genome sequences available for . and . remained largely functionally unannotated. On the other hand, the seaweed improvement programmes also retarded due to limitation of mapping of functional traits over genetic loci. So far, only a few verities wer
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Erzsébet Csuhaj-Varjú,György Vaszil- and anti-oncogenic effects, and functional interactions between immune and cancer cells in the tumor microenvironment are crucial in determining the course of cancer progression. Thus, understanding the role of miRNAs in controlling cancer immunity is important for revealing mechanisms that could
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Ella Gale,Ben de Lacy Costello,Andrew Adamatzky The inferred regulatory models can then be applied to genomic sequences or experimental conditions that have not been measured to predict splicing outcome. Moreover, the models themselves can be interrogated to identify new regulatory mechanisms, which can be subsequently tested experimentally. In
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Lila Kari,Steffen Kopecki,Amirhossein Simjourion of recent high-throughput approaches used in cancer biomarker discovery. Several databases and bioinformatics tools applied in cancer biomarker discovery have been mentioned. In summary, different cancer biomarker types, omics approaches used for cancer biomarker discovery, and dedicated cancer-
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