Detecting interactions between gene, site, and environmental variables using GAP
نویسندگان
چکیده
منابع مشابه
Detecting Relationships Between Physiological Variables
In intensive care physiological variables of the critically ill are measured and recorded in short time intervals. The proper extraction and interpretation of the information contained in this flood of information can hardly be done by experience alone. Intelligent alarm systems are needed to provide suitable bedside decision support. So far there is no commonly accepted standard for detecting ...
متن کاملDetecting relationships between physiological variables using graphical models
In intensive care physiological variables of the critically ill are measured and recorded in short time intervals. The proper extraction and interpretation of the information contained in this flood of information can hardly be done by experience alone. Intelligent alarm systems are needed to provide suitable bedside decision support. So far there is no commonly accepted standard for detecting ...
متن کاملinterrelations between plants and environmental variables
distribution and abundance of plants has been correlated with a variety of complex environmental gradients. environmental factors affect plants growth and need to be understood by ecosystem managers. this study was carried out to examine the relationships between site factors and different vascular and non-vascular plants in north of iran. for this purpose, vegetation and soil sampling was perf...
متن کاملInterrelations Between Plants and Environmental Variables
Distribution and abundance of plants has been correlated with a variety of complex environmental gradients. Environmental factors affect plants growth and need to be understood by ecosystem managers. This study was carried out to examine the relationships between site factors and different vascular and non-vascular plants in north of Iran. For this purpose, vegetation and soil sampling was perf...
متن کاملDetecting relevant variables and interactions in supervised classification
The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification Trees (CART) might be more attractive, since they are designed to detect the important predictor variables and, for each predictor variable, the critical values which are mos...
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ژورنال
عنوان ژورنال: Genetic Epidemiology
سال: 1999
ISSN: 0741-0395
DOI: 10.1002/gepi.13701707118