{"title":"Protein Map of Control Mice Exposed to Context Fear Using a Novel Implementation of Granger Causality","authors":"M. Furqan, M. Y. Siyal","doi":"10.1109/AIMS.2015.26","DOIUrl":null,"url":null,"abstract":"Temporal information plays a substantial role in accessing Granger Causality. However, new technology limits the availability of data by simultaneously analyzing high dimensional data. Recent studies suggest that this problem can be resolved by reusing the data after reversing the timestamp. Based on this idea, we are proposing a new method called Forward Backward Pair wise Granger Causality that can deal with high dimensional data and can extract more causal data. We have used simulated data to compare our proposed method with the existing method and later, we have applied the proposed approach to control mice data to map the protein map involved in studying the fear.","PeriodicalId":121874,"journal":{"name":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS.2015.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Temporal information plays a substantial role in accessing Granger Causality. However, new technology limits the availability of data by simultaneously analyzing high dimensional data. Recent studies suggest that this problem can be resolved by reusing the data after reversing the timestamp. Based on this idea, we are proposing a new method called Forward Backward Pair wise Granger Causality that can deal with high dimensional data and can extract more causal data. We have used simulated data to compare our proposed method with the existing method and later, we have applied the proposed approach to control mice data to map the protein map involved in studying the fear.