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Inference of biological networks using Bi-directional Random Forest Granger causality

The standard ordinary least squares based Granger causality is one of the widely used methods for detecting causal interactions between time series data. However, recent developments in technology limit the utilization of some existing implementations due to the availability of high dimensional data...

詳細記述

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書誌詳細
出版年:Springerplus
主要な著者: Furqan, Mohammad Shaheryar, Siyal, Mohammad Yakoob
フォーマット: Artigo
言語:Inglês
出版事項: Springer International Publishing 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4844585/
https://ncbi.nlm.nih.gov/pubmed/27186478
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-2156-y
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