Number of datasets available before and after curation.

<p>Number of datasets available before and after curation.</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

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

System figure for the synthesizer application.

<p>System figure for the synthesizer application.</p

Global find and replace.

<p>Global find and replace.</p

Synthesizer user interface.

<p>Synthesizer user interface.</p

Synthesize accuracy with regards to ecology datasets.

<p>Synthesize accuracy with regards to ecology datasets.</p

Synthesizer upload files.

<p>Synthesizer upload files.</p

Synthesize accuracy with regards to cancer genomics datasets.

<p>Synthesize accuracy with regards to cancer genomics datasets.</p

Example spreadsheets with data types.

<p>Example spreadsheets with data types.</p