<p>The top down topic hierarchy with three levels has seven topics at the third level. The number assigned to the edges indicates the distribution of predicates to its child node. The sum of the numbers should be one (e.g., 0.17 + 0.83 at the top level). A color is assigned to each domain as follows: DrugBank: Red; HGNC: Pink; MGI: Green; PharmGKB: Cyan; ClinicalTrials: Yellow; OMIM: Sky Blue; SIDER: Gray; KEGG: Orange; CTD: Magenta.</p
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
The four-level Pachinko Allocation model (PAM) represents correlations among topics using a DAG stru...
<p>All topics with “language in their top 5 terms were first identified from the results for topic m...
<p>The total number of descriptors equals 919. They belong to 6 different categories which are as fo...
<p>The color of the eight clusters from left to right (for a discussion see text): purple, gray, gre...
Topics were agglomerated by the ward.D method [50]. The distance between topics was measured by the ...
<p>Top: clustering tree. Bottom: initial unmerged colors and subsequent merged (final) module color ...
An algorithm is described which constructs a hierarchical taxonomy over object sets. The algorithm f...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
Representation of hierarchical structure of categories based on distribution of papers in categories...
A hierarchy, characterized by tree-like relationships, is a natural method of organizing data in var...
Hierarchical clustering, where final nodes are the selected groups for classification.</p
The dataset contains more than 21M hierarchical relationships about ≈10M topics extracted from Freeb...
BACKGROUND: A hierarchy, characterized by tree-like relationships, is a natural method of organizing...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
The four-level Pachinko Allocation model (PAM) represents correlations among topics using a DAG stru...
<p>All topics with “language in their top 5 terms were first identified from the results for topic m...
<p>The total number of descriptors equals 919. They belong to 6 different categories which are as fo...
<p>The color of the eight clusters from left to right (for a discussion see text): purple, gray, gre...
Topics were agglomerated by the ward.D method [50]. The distance between topics was measured by the ...
<p>Top: clustering tree. Bottom: initial unmerged colors and subsequent merged (final) module color ...
An algorithm is described which constructs a hierarchical taxonomy over object sets. The algorithm f...
<p>Clustering results from the selected cut levels. Bilaterally symmetric clusters are displayed in ...
Representation of hierarchical structure of categories based on distribution of papers in categories...
A hierarchy, characterized by tree-like relationships, is a natural method of organizing data in var...
Hierarchical clustering, where final nodes are the selected groups for classification.</p
The dataset contains more than 21M hierarchical relationships about ≈10M topics extracted from Freeb...
BACKGROUND: A hierarchy, characterized by tree-like relationships, is a natural method of organizing...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
Figure S2. Hierarchical STRUCTURE analysis identified clusters within each of the three major lineag...
The four-level Pachinko Allocation model (PAM) represents correlations among topics using a DAG stru...