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METHOD, SYSTEM, AND COMPUTER-ACCESSIBLE MEDIUM FOR INFERRING AND/OR DETERMINING CAUSATION IN TIME COURSE DATA WITH TEMPORAL LOGIC
METHOD, SYSTEM, AND COMPUTER-ACCESSIBLE MEDIUM FOR INFERRING AND/OR DETERMINING CAUSATION IN TIME COURSE DATA WITH TEMPORAL LOGIC
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机译:用时间逻辑推理和/或确定时间课程数据中起因的方法,系统和计算机可访问介质
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摘要
Time-course data with an underlying causal structure may appear in a variety of domains, including, e.g., neural spike trains, stock price movements, and gene expression levels. Provided and described herein are methods, procedures, systems, and computer-accessible medium for inferring and/or determining causation in time course data based on temporal logic and algorithms for model checking. For example, according to one exemplary embodiment, the exemplary method can include receiving data associated with particular causal relationships, for each causal relationship, determining average characteristics associated with cause and effects of the causal relationships, and identifying the causal relationships that meet predetermined requirement(s) as a function of the average characteristics so as to generate a causal relationship. The exemplary characteristics associated with cause and effects of the causal relationships can include an associated average difference that a cause can make to an effect in relation to each other cause of that effect.
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