57 research outputs found
Synthesizer: Expediting synthesis studies from context-free data with information retrieval techniques - Fig 3
<p>A) Venn diagram showing the common collocates between the column “gender” in spreadsheet A () and column “sex” in spreadsheet B () of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0175860#pone.0175860.t001" target="_blank">Table 1</a>, respectively. B) Eq 2 applied to running example to compute the C) matrix of cosine similarity measures between spreadsheet A and B (<i>cs</i>_<i>matrix</i>).</p
Synthesize accuracy with regards to ecology datasets.
<p>Synthesize accuracy with regards to ecology datasets.</p
System figure for the synthesizer application.
<p>System figure for the synthesizer application.</p
Number of datasets available before and after curation.
<p>Number of datasets available before and after curation.</p
Synthesize accuracy with regards to cancer genomics datasets.
<p>Synthesize accuracy with regards to cancer genomics datasets.</p
Synthesize cosine similarity threshold selection on two training HNSCC datasets (GSE6791 and GSE3292).
<p>A) Cosine similarity between labels and columns of each pair of columns in the two datasets. B) Accuracy of automatic merging as a function of the cosine similarity merging threshold. C) Accuracy of resulting merging for each set of columns using a threshold cosine similarity value of 0.5.</p
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