about
Improved exome prioritization of disease genes through cross-species phenotype comparisonReporting phenotypes in mouse models when considering body size as a potential confounderDisease insights through cross-species phenotype comparisonsText-mining solutions for biomedical research: enabling integrative biologyToward knowledge support for analysis and interpretation of complex traitsLearning to recognize phenotype candidates in the auto-immune literature using SVM re-rankingA gene expression resource generated by genome-wide lacZ profiling in the mouse.PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.Improving disease gene prioritization by comparing the semantic similarity of phenotypes in mice with those of human diseases.Relations as patterns: bridging the gap between OBO and OWLUsing association rule mining to determine promising secondary phenotyping hypothesesThe influence of disease categories on gene candidate predictions from model organism phenotypes.Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoningInteroperability between phenotype and anatomy ontologies.A common layer of interoperability for biomedical ontologies based on OWL EL.Finding our way through phenotypes.Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.Automatic concept recognition using the human phenotype ontology reference and test suite corpora.An ontology approach to comparative phenomics in plantsLinking gene expression to phenotypes via pathway information.Concept selection for phenotypes and diseases using learn to rankSpecial issue on bio-ontologies and phenotypes.PhenoDigm: analyzing curated annotations to associate animal models with human diseases.The digital revolution in phenotyping.Linking tissues to phenotypes using gene expression profilesCharacterisation of mental health conditions in social media using Informed Deep Learning.Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.Automatically transforming pre- to post-composed phenotypes: EQ-lising HPO and MP.Quantitative comparison of mapping methods between Human and Mammalian Phenotype OntologyCorrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.Use of animal models for exome prioritization of rare disease genesUsing silver and semi-gold standard corpora to compare open named entity recognisersMining Social Media Data to Study the Consequences of Dementia Diagnosis on Caregivers and Relatives (Preprint)Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health RecordsThe language of mental health problems in social media
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P50
description
hulumtuese
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researcher
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wetenschapper
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հետազոտող
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name
Anika Oellrich
@ast
Anika Oellrich
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Anika Oellrich
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Anika Oellrich
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type
label
Anika Oellrich
@ast
Anika Oellrich
@en
Anika Oellrich
@es
Anika Oellrich
@nl
prefLabel
Anika Oellrich
@ast
Anika Oellrich
@en
Anika Oellrich
@es
Anika Oellrich
@nl
P106
P21
P31
P496
0000-0003-0940-6886