<p>Participants are ordered along both X- and Y-axis according to the co-occurrence score (i.e. the more similar the peptide profiles of any two participants, the higher their tendency to cluster together and the closer they are placed on the axis). Co-occurrence score values range from 0 (for participants who never cluster together) to 1.0 (for participants who always cluster together). The horizontal bar delimits the four clusters.</p
BackgroundHierarchical cluster analysis (HCA) is a widely used classificatory technique in many area...
none3Co-clustering has not been much exploited in biomedical informatics, despite its success in oth...
<p>Each point in the scatter plot above marks the purity for the drug affinity <b>true</b> label on ...
<p>A) Average over ten restarts of the co-occurrence matrices for clustering with a fixed number of ...
<p>Left: The mean CD4 cell count (top) and frequency of ambiguous sites (bottom) versus the threshol...
<p>Hierarchical clustering on the ‘core’ dataset (A) as well as on the union (B) of all identified a...
Average cluster scores are shown at the top and bottom of the ladder. Clusters are positioned on the...
<p>X-axis contains the 4 clusters. Y-axis contains the peak intensity, scaled from 0 (minimum detect...
<p>We used Mclust (model-based clustering algorithm <a href="http://www.plosone.org/article/info:doi...
Biological and social systems consist of myriad interacting units. The interactions can be intuitive...
<p>A) Individual binding potential (<i>BP)</i> values of [<sup>18</sup>F]altanserin and [<sup>11</su...
<p>Each individual is represented by a bar showing the individual’s estimated membership to a partic...
Co-clustering aims to identify block patterns in a data table, from a joint clustering of rows and c...
<p>Correlation coefficient (cc) was generated to assess the relationship between the expression valu...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
BackgroundHierarchical cluster analysis (HCA) is a widely used classificatory technique in many area...
none3Co-clustering has not been much exploited in biomedical informatics, despite its success in oth...
<p>Each point in the scatter plot above marks the purity for the drug affinity <b>true</b> label on ...
<p>A) Average over ten restarts of the co-occurrence matrices for clustering with a fixed number of ...
<p>Left: The mean CD4 cell count (top) and frequency of ambiguous sites (bottom) versus the threshol...
<p>Hierarchical clustering on the ‘core’ dataset (A) as well as on the union (B) of all identified a...
Average cluster scores are shown at the top and bottom of the ladder. Clusters are positioned on the...
<p>X-axis contains the 4 clusters. Y-axis contains the peak intensity, scaled from 0 (minimum detect...
<p>We used Mclust (model-based clustering algorithm <a href="http://www.plosone.org/article/info:doi...
Biological and social systems consist of myriad interacting units. The interactions can be intuitive...
<p>A) Individual binding potential (<i>BP)</i> values of [<sup>18</sup>F]altanserin and [<sup>11</su...
<p>Each individual is represented by a bar showing the individual’s estimated membership to a partic...
Co-clustering aims to identify block patterns in a data table, from a joint clustering of rows and c...
<p>Correlation coefficient (cc) was generated to assess the relationship between the expression valu...
<p>(A) Pearson correlation and (B) Euclidean distance as distance measure. Each line represents a ge...
BackgroundHierarchical cluster analysis (HCA) is a widely used classificatory technique in many area...
none3Co-clustering has not been much exploited in biomedical informatics, despite its success in oth...
<p>Each point in the scatter plot above marks the purity for the drug affinity <b>true</b> label on ...