A Complementary Graphical Method for Reducing and Analyzing Large Data Sets
نویسندگان
چکیده
منابع مشابه
A Complementary Graphical Method for Reducing and Analyzing Large Data Sets
Objectives—Graphical displays can make data more understandable; however, large graphs can challenge human comprehension. We have previously described a filtering method to provide high-level summary views of large data sets. In this paper we demonstrate our method for setting and selecting thresholds to limit graph size while retaining important information by applying it to large single and p...
متن کاملA complementary graphical method for reducing and analyzing large data sets. Case studies demonstrating thresholds setting and selection.
OBJECTIVES Graphical displays can make data more understandable; however, large graphs can challenge human comprehension. We have previously described a filtering method to provide high-level summary views of large data sets. In this paper we demonstrate our method for setting and selecting thresholds to limit graph size while retaining important information by applying it to large single and p...
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OBJECTIVE To explore new graphical methods for reducing and analyzing large data sets in which the data are coded with a hierarchical terminology. METHODS We use a hierarchical terminology to organize a data set and display it in a graph. We reduce the size and complexity of the data set by considering the terminological structure and the data set itself (using a variety of thresholds) as wel...
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In 1993, Mark Chase and 41 coauthors published phylogenetic analyses of two very large data sets of nucleotide sequences of the chloroplast gene rbcL, which encodes the large subunit of ribulose 1,5-bisphosphate carboxylase. Their paper was important for several reasons. These analyses were (and still are) among the largest ever attempted using parsimony. The assembly of such a large number of ...
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ژورنال
عنوان ژورنال: Methods of Information in Medicine
سال: 2014
ISSN: 0026-1270,2511-705X
DOI: 10.3414/me13-01-0075