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Author Details
Full Name
Anika Oellrich
Affiliation
King's College London
ORCID
Career Start Year
2010
Papers
33
H Index
16
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
28507325
Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.
Sci Rep
2017
28507325
Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.
Sci Rep
2017
28365743
Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease.
Database (Oxford)
2017
28327593
Characterisation of mental health conditions in social media using Informed Deep Learning.
Sci Rep
2017
28365743
Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease.
Database (Oxford)
2017
28327593
Characterisation of mental health conditions in social media using Informed Deep Learning.
Sci Rep
2017
26865945
Reporting phenotypes in mouse models when considering body size as a potential confounder.
J Biomed Semantics
2016
26865945
Reporting phenotypes in mouse models when considering body size as a potential confounder.
J Biomed Semantics
2016
26420780
The digital revolution in phenotyping.
Brief Bioinform
2016
27955708
Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.
J Biomed Semantics
2016
26420780
The digital revolution in phenotyping.
Brief Bioinform
2016
27955708
Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.
J Biomed Semantics
2016
25607983
Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.
PLoS One
2015
25774204
An ontology approach to comparative phenomics in plants.
Plant Methods
2015
25901272
Linking gene expression to phenotypes via pathway information.
J Biomed Semantics
2015
25607983
Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.
PLoS One
2015
25562316
Finding our way through phenotypes.
PLoS Biol
2015
25725061
Automatic concept recognition using the human phenotype ontology reference and test suite corpora.
Database (Oxford)
2015
26398943
A gene expression resource generated by genome-wide lacZ profiling in the mouse.
Dis Model Mech
2015
26092691
Disease insights through cross-species phenotype comparisons.
Mamm Genome
2015
26507285
PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.
Database (Oxford)
2015
26034558
Concept selection for phenotypes and diseases using learn to rank.
J Biomed Semantics
2015
26682035
Special issue on bio-ontologies and phenotypes.
J Biomed Semantics
2015
26507285
PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.
Database (Oxford)
2015
26398943
A gene expression resource generated by genome-wide lacZ profiling in the mouse.
Dis Model Mech
2015
26682035
Special issue on bio-ontologies and phenotypes.
J Biomed Semantics
2015
26092691
Disease insights through cross-species phenotype comparisons.
Mamm Genome
2015
26034558
Concept selection for phenotypes and diseases using learn to rank.
J Biomed Semantics
2015
25901272
Linking gene expression to phenotypes via pathway information.
J Biomed Semantics
2015
25725061
Automatic concept recognition using the human phenotype ontology reference and test suite corpora.
Database (Oxford)
2015
25774204
An ontology approach to comparative phenomics in plants.
Plant Methods
2015
25562316
Finding our way through phenotypes.
PLoS Biol
2015
24162188
Improved exome prioritization of disease genes through cross-species phenotype comparison.
Genome Res
2014
24162188
Improved exome prioritization of disease genes through cross-species phenotype comparison.
Genome Res
2014
24634472
Linking tissues to phenotypes using gene expression profiles.
Database (Oxford)
2014
24932005
Using association rule mining to determine promising secondary phenotyping hypotheses.
Bioinformatics
2014
25093073
The influence of disease categories on gene candidate predictions from model organism phenotypes.
J Biomed Semantics
2014
25093073
The influence of disease categories on gene candidate predictions from model organism phenotypes.
J Biomed Semantics
2014
24932005
Using association rule mining to determine promising secondary phenotyping hypotheses.
Bioinformatics
2014
24634472
Linking tissues to phenotypes using gene expression profiles.
Database (Oxford)
2014
23660285
PhenoDigm: analyzing curated annotations to associate animal models with human diseases.
Database (Oxford)
2013
24079802
Toward knowledge support for analysis and interpretation of complex traits.
Genome Biol
2013
24155869
Learning to recognize phenotype candidates in the auto-immune literature using SVM re-ranking.
PLoS One
2013
24131519
Automatically transforming pre- to post-composed phenotypes: EQ-lising HPO and MP.
J Biomed Semantics
2013
23660285
PhenoDigm: analyzing curated annotations to associate animal models with human diseases.
Database (Oxford)
2013
24079802
Toward knowledge support for analysis and interpretation of complex traits.
Genome Biol
2013
24131519
Automatically transforming pre- to post-composed phenotypes: EQ-lising HPO and MP.
J Biomed Semantics
2013
24155869
Learning to recognize phenotype candidates in the auto-immune literature using SVM re-ranking.
PLoS One
2013
22174294
Linking PharmGKB to phenotype studies and animal models of disease for drug repurposing.
Pac Symp Biocomput
2012
22719993
Improving disease gene prioritization by comparing the semantic similarity of phenotypes in mice with those of human diseases.
PLoS One
2012
1 - 50 of 66
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William Harvey Research Institute, Queen Mary University of London
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