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open_targets.literature_entity_lut

import bedrock_bio as bb

rel = bb.load_table('open_targets.literature_entity_lut')

df = rel.limit(5).pl()  # Polars
df = rel.limit(5).df()  # Pandas
df.head()
pmid pmcid date year month day keywordId relevance keywordType version
0 1000336 None 1976-12-01 1976 12 1 ENSG00000152266 0.800000 GP 26.09
1 1000367 None 1976-09-01 1976 9 1 ENSG00000244734 1.288889 GP 26.09
2 1000378 None 1976-01-01 1976 1 1 ENSG00000115263 1.393111 GP 26.09
3 1000479 None 1976-12-01 1976 12 1 MONDO_0005070 1.000000 DS 26.09
4 1000505 None 1976-12-01 1976 12 1 CHEMBL52609 1.000000 CD 26.09

Unique list of entities identified for each literature entry [Literature]

Not partitioned.

Column Type Description
pmid TEXT Europe PubMed Central identifier (EPMCID) of the literature entry
pmcid TEXT PubMed Central ID (PMCID) of the literature entry
date DATE Date of publication in YYYY-MM-DD format
year INT Year of publication
month INT Month of publication
day INT Day of publication
keywordId TEXT Unique identifier for the keyword associated with the literature entry
relevance DOUBLE Relevance score of the keyword within the literature entry
keywordType TEXT Type of keyword identified in the literature entry. Values: DS: disease/syndrome, GP: gene/protein, CD: chemical/drug
version TEXT Open Targets Platform release version (major.minor), e.g. 26.09. Added during ingest.