Modeling Cumulative Biological Phenomena with Suppes-Bayes Causal Networks
نویسندگان
چکیده
منابع مشابه
Modeling cumulative biological phenomena with Suppes-Bayes causal networks
Several diseases related to cell proliferation are characterized by the accumulation of somatic DNA changes, with respect to wildtype conditions. Cancer and HIV are two common examples of such diseases, where the mutational load in the cancerous/viral population increases over time. In these cases, selective pressures are often observed along with competition, cooperation and parasitism among d...
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One of the critical issues when adopting Bayesian networks (BNs) to model dependencies among random variables is to “learn” their structure, given the huge search space of possible solutions, i.e., all the possible direct acyclic graphs. This is a wellknown NP -hard problem, which is also complicated by known pitfalls such as the issue of I-equivalence among different structures. In this work w...
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The most recent financial upheavals have cast doubt on the adequacy of some of the conventional quantitative risk management strategies, such as VaR (Value at Risk), in many common situations. Consequently, there has been an increasing need for verisimilar financial stress testings, namely simulating and analyzing financial portfolios in extreme, albeit rare scenarios. Unlike conventional risk ...
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ژورنال
عنوان ژورنال: Evolutionary Bioinformatics
سال: 2018
ISSN: 1176-9343,1176-9343
DOI: 10.1177/1176934318785167