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Dataset Open Access

CIViCmine

Jake Lever

This describes the output files for the CIViCmine project. These files are loaded directly by the CIViCmine viewer. The code for this viewer is available in the CIViCmine Github repo if you want to run it independently. Each file is a tab-delimited file with a header, no comments and no quoting.

You likely want civicmine_collated.tsv if you just want the list of cancer biomarkers. If you want the supporting sentences, look at civicmine_sentences.tsv. You can use the matching_id column to connect the two files. If you want to dig further and are okay with a higher false positive rate, look at civicmine_unfiltered.tsv.

civicmine_collated.tsv: This contains the cancer biomarkers with citation counts supporting them. It contains the normalized cancer and gene names along with IDs for HUGO, Entrez Gene and the Disease Ontology.

civicmine_sentences.tsv: This contains the supporting sentences for the cancer biomarker in the collated file. Each row is a single supporting sentence for one cancer biomarker. This file contains information on the source publication (e.g. journal, publication date, etc), the actual sentence and the cancer biomarker extracted.

civicmine_unfiltered.tsv: This is the raw output of the applyModelsToSentences.py script across all of PubMed, Pubmed Central Open Access and PubMed Central Author Manuscript Collection. It contains every predicted relation with a prediction score above 0.5. So this may contain many false positives. Each row contain information on the publication (e.g. journal, publication date, etc) along with the sentence and the specific cancer biomarker extracted (with HUGO, Entrez Gene and Disease Ontology IDs). This file is further processed to create the other two.

Files (937.7 MB)
Name Size
civicmine_collated.tsv
md5:769a1feafdda596cde827374873a3f90
16.9 MB Download
civicmine_sentences.tsv
md5:5443327bd90f321f71a9321b2e8188ec
260.7 MB Download
civicmine_unfiltered.tsv
md5:16e1c239a28aac4818a80448b78dd406
660.1 MB Download
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