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2013
Systems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole. Systems biology involves the development and application of systems theory concepts for the study of complex biological systems through iteration over mathematical ...
Nattkemper, Tim Wilhelm +4 more
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Systems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole. Systems biology involves the development and application of systems theory concepts for the study of complex biological systems through iteration over mathematical ...
Nattkemper, Tim Wilhelm +4 more
+5 more sources
2011
Cluster analysis is a fundamentally exploratory tool that seeks to sort data vectors into like groups, when true group memberships are not known. Differences among clustering methods arise from use of different metrics for similarity or distance between individual vectors, and between groups of vectors.
Everitt, Brian +3 more
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Cluster analysis is a fundamentally exploratory tool that seeks to sort data vectors into like groups, when true group memberships are not known. Differences among clustering methods arise from use of different metrics for similarity or distance between individual vectors, and between groups of vectors.
Everitt, Brian +3 more
openaire +4 more sources
2001
Abstract To identify the similarities and differences among a series of human populations based on variations in genetic frequencies. DATA The frequencies of genetic variants within three major red blood cell systems (ABO-system, Rh-system, and MN-system) for 26 race/ethnicity groups were collected from a variety of sources. The presence
Jay E. Aronson, Lakshmi S. Iyer
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Abstract To identify the similarities and differences among a series of human populations based on variations in genetic frequencies. DATA The frequencies of genetic variants within three major red blood cell systems (ABO-system, Rh-system, and MN-system) for 26 race/ethnicity groups were collected from a variety of sources. The presence
Jay E. Aronson, Lakshmi S. Iyer
openaire +2 more sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1980
Cluster analysis is concerned with the problem of partitioning a given set of entities into homogeneous and well-separated subsets called clusters. The concepts of homogeneity and of separation can be made precise when a measure of dissimilarity between the entities is given.
Pierre Hansen, Michel Delattre
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Cluster analysis is concerned with the problem of partitioning a given set of entities into homogeneous and well-separated subsets called clusters. The concepts of homogeneity and of separation can be made precise when a measure of dissimilarity between the entities is given.
Pierre Hansen, Michel Delattre
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Veterinary Immunology and Immunopathology, 1996
Cluster analysis was performed on flow cytometry data generated from the reactivities of the 302 workshop monoclonal antibodies with 36 target cell preparations. The antibodies were assigned to 42 preliminary clusters that were subjected to further examination in subsequent stages of the workshop.
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Cluster analysis was performed on flow cytometry data generated from the reactivities of the 302 workshop monoclonal antibodies with 36 target cell preparations. The antibodies were assigned to 42 preliminary clusters that were subjected to further examination in subsequent stages of the workshop.
openaire +2 more sources
CLUSTER-a package for cluster analysis
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988The use of different measures of similarity, clusterization criteria, and theories in cluster analysis makes it difficult to compare interpretations of a single data set. The authors present some methods as well as software tools for comparison of cluster partitions.
V. Peneva, I. Popchev
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Comprehensive cluster analysis with Transitivity Clustering
Nature Protocols, 2011Transitivity Clustering is a method for the partitioning of biological data into groups of similar objects, such as genes, for instance. It provides integrated access to various functions addressing each step of a typical cluster analysis. To facilitate this, Transitivity Clustering is accessible online and offers three user-friendly interfaces: a ...
Tobias Wittkop +5 more
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