Titlebook: Computational Methods in Systems Biology; 20th International C Ion Petre,Andrei P?un Conference proceedings 2022 The Editor(s) (if applicab

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書目名稱Computational Methods in Systems Biology影響因子(影響力)




書目名稱Computational Methods in Systems Biology影響因子(影響力)學(xué)科排名




書目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開度




書目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Methods in Systems Biology被引頻次




書目名稱Computational Methods in Systems Biology被引頻次學(xué)科排名




書目名稱Computational Methods in Systems Biology年度引用




書目名稱Computational Methods in Systems Biology年度引用學(xué)科排名




書目名稱Computational Methods in Systems Biology讀者反饋




書目名稱Computational Methods in Systems Biology讀者反饋學(xué)科排名

integral

Prioritization of?Candidate Genes Through Boolean Networks data. Then, we describe a method to identify master regulatory genes, which have an impact on the dynamics of the gene regulation in a specific disease-related transcriptional context. We showed that our novel method for the identification of master regulatory genes was consistent with network cont

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Probabilistic Multivariate Early Warning Signalsction by more efficiently utilizing the available information from multivariate time series. In particular, we consider a probabilistic variant of a vector autoregression model as a novel early warning indicator and argue that it has certain advantages in model regularization, treatment of uncertain

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https://doi.org/10.1007/978-3-540-71593-1ransition graph that is reachable from the abstraction of the initial state. We prove the soundness of our abstract simulation algorithm, and show its applicability to reaction networks in the SBML format from the BioModels database.

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