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Create a preliminary TRAPI attribute structure for returning concept cooccurrence results. This structure can be modeled after the COHD attribute structure proposed by Matt Brush.
COHD example provided by Matt Brush
Proposed Cooccurrence Attribute Structure
Proposed Node TSV
id
name
category
CHEBI:3215
bupivacaine
biolink:ChemicalEntity
PR:000031567
leucine-rich repeat-containing protein 3B
biolink:Protein
Proposed Edge TSV (Note: scroll table to see all columns)
where the ATTRIBUTE_JSON_BLOB would be JSON represented by the following YAML:
- attribute_type_id: biolink:original_knowledge_sourcevalue: infores:text-mining-provider-cooccurrencevalue_type_id: biolink:InformationResourcedescription: The Text Mining Provider Concept Cooccurrence KP from NCATS Translator provides cooccurrence metrics for text-mined concepts that cooccur at various levels, e.g. document, sentence, etc. in the biomedical literature.attribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:supporting_data_sourcevalue: infores:pubmedvalue_type_id: biolink:InformationResourceattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:supporting_study_resultvalue: tmkp:a1a1a1a1a1a1value_type_id: biolink:DocumentLevelConceptCooccurrenceAnalysisResultdescription: a single result from computing cooccurrence metrics between two concepts that cooccur at the document levelattribute_source: infores:text-mining-provider-cooccurrence attributes:
- attribute_type_id: biolink:supporting_document ## NOT CURRENTLY IN BIOLINKvalue: PMID:29085514|PMID:1236578value_type_id: biolink:Publicationdescription: The documents where the concepts of this assertion were observed to cooccur at the document level.attribute_source: infores:pubmed
- attribute_type_id: biolink:tmkp_concept1_countvalue: 123value_type_id: SIO:000794 # SIO:countdescription: The number of times concept #1 was observed to occur at the document level in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_concept2_countvalue: 321value_type_id: SIO:000794 # SIO:countdescription: The number of times concept #2 was observed to occur at the document level in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_concept_pair_countvalue: 2value_type_id: SIO:000794 # SIO:countdescription: The number of times the concepts of this assertion were observed to cooccur at the document level in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_normalized_google_distancevalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: The normalized google distance score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_pointwise_mutual_informationvalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: The pointwise mutual information score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_normalized_pointwise_mutual_informationvalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: The normalized pointwise mutual information score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_mutual_dependencevalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: The mutual dependence (PMI^2) score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_normalized_pointwise_mutual_information_maxvalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: A variant of the normalized pointwise mutual information score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:tmkp_log_frequency_biased_mutual_dependencevalue: 0.876value_type_id: EDAM:data_1772 # EDAM:score description: The log frequency biased mutual dependence score for the concepts in this assertion based on their cooccurrence in the documents that were processedattribute_source: infores:text-mining-provider-cooccurrence
- attribute_type_id: biolink:supporting_study_resultvalue: tmkp:b2b2b2b2b2b2 value_type_id: biolink:SentenceLevelConceptCooccurrenceAnalysisResultdescription: a single result from computing cooccurrence metrics between two concepts that cooccur at the sentence levelattribute_source: infores:text-mining-provider-cooccurrence attributes:
[SAME ATTRIBUTES AS ABOVE]
- attribute_type_id: biolink:supporting_study_resultvalue: tmkp:c3c3c3c3c3c3 value_type_id: biolink:TitleLevelConceptCooccurrenceAnalysisResultdescription: a single result from computing cooccurrence metrics between two concepts that cooccur in the document titleattribute_source: infores:text-mining-provider-cooccurrence attributes:
[SAME ATTRIBUTES AS ABOVE]
- attribute_type_id: biolink:supporting_study_resultvalue: tmkp:d4d4d4d4d4d4 value_type_id: biolink:AbstractLevelConceptCooccurrenceAnalysisResultdescription: a single result from computing cooccurrence metrics between two concepts that cooccur in the abstractattribute_source: infores:text-mining-provider-cooccurrence attributes:
[SAME ATTRIBUTES AS ABOVE]
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Sep 17, 2021
Create a preliminary TRAPI attribute structure for returning concept cooccurrence results. This structure can be modeled after the COHD attribute structure proposed by Matt Brush.
COHD example provided by Matt Brush
Proposed Cooccurrence Attribute Structure
Proposed Node TSV
Proposed Edge TSV (Note: scroll table to see all columns)
ATTRIBUTE_JSON_BLOB
where the
ATTRIBUTE_JSON_BLOB
would be JSON represented by the following YAML:The text was updated successfully, but these errors were encountered: