Anika Cawthorn (formerly Oellrich)

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Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesVerified email at zbmed.de
Damian SmedleyQueen Mary University of LondonVerified email at qmul.ac.uk
Robert HoehndorfKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Peter RobinsonBerlin Institute of Health, Charité - Universitätsmedizin, Berlin, GermanyVerified email at bih-charite.de
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Sebastian KöhlerExpert AI engineer, Ada Health; Member of Monarch InitiativeVerified email at ada.com
Tudor GrozaEuropean Bioinformatics InstituteVerified email at ebi.ac.uk
Christopher J MungallLawrence Berkeley National LaboratoryVerified email at lbl.gov
Michel DumontierDistinguished Professor of Data Science, Maastricht UniversityVerified email at maastrichtuniversity.nl
Maria LiakataProfessor Queen Mary University of London/University of Warwick, Alan Turing Institute AI FellowVerified email at qmul.ac.uk
Nicole L WashingtonHelixVerified email at helix.com
George GkotsisApplied Scientist at Objective inc.Verified email at kcl.ac.uk
Kai WangChildren's Hospital of PhiladelphiaVerified email at email.chop.edu
Prof. Dr. med., Dipl. Phys. Peter KrawitzInstitute for Genomic Statistics and BioinformaticsVerified email at uni-bonn.de
Sebastian BauerVerified email at sebastianbauer.info
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Irene PapatheodorouEarlham InstituteVerified email at ebi.ac.uk
Janet KelsoMPI EVAVerified email at eva.mpg.de
Sarala M WimalaratneDataCiteVerified email at datacite.org
Mai-Vu Tran (Trần Mai Vũ)VNU University of Engineering and Technology, Vietnam National University, HanoiVerified email at vnu.edu.vn

Anika Cawthorn (formerly Oellrich)

University College London

Verified email at ucl.ac.uk

Computational biology Knowledge representation Semantic similarity Electronic Health Records Virtual patient


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Improved exome prioritization of disease genes through cross-species phenotype comparison PN Robinson, S Köhler, A Oellrich, K Wang, CJ Mungall, SE Lewis, ... Genome research 24 (2), 340-348, 2014	383	2014
Characterisation of mental health conditions in social media using Informed Deep Learning G Gkotsis, A Oellrich, S Velupillai, M Liakata, TJP Hubbard, RJB Dobson, ... Scientific reports 7 (1), 1-11, 2017	292	2017
Text-mining solutions for biomedical research: enabling integrative biology D Rebholz-Schuhmann, A Oellrich, R Hoehndorf Nature Reviews Genetics 13 (12), 829-839, 2012	278	2012
Finding our way through phenotypes AR Deans, SE Lewis, E Huala, SS Anzaldo, M Ashburner, JP Balhoff, ... PLoS biology 13 (1), e1002033, 2015	236	2015
The language of mental health problems in social media G Gkotsis, A Oellrich, TJP Hubbard, RJB Dobson, M Liakata, ... Third Computational Linguistics and Clinical Psychology Workshop (NAACL), 2016	148	2016
PhenoDigm: analyzing curated annotations to associate animal models with human diseases D Smedley, A Oellrich, S Köhler, B Ruef, Sanger Mouse Genetics Project, ... Database 2013, bat025, 2013	145	2013
Automatic concept recognition using the human phenotype ontology reference and test suite corpora T Groza, S Köhler, S Doelken, N Collier, A Oellrich, D Smedley, FM Couto, ... Database 2015, bav005, 2015	83	2015
Relations as patterns: bridging the gap between OBO and OWL R Hoehndorf, A Oellrich, M Dumontier, J Kelso, D Rebholz-Schuhmann, ... BMC bioinformatics 11, 1-8, 2010	76	2010
The digital revolution in phenotyping A Oellrich, N Collier, T Groza, D Rebholz-Schuhmann, N Shah, ... Briefings in bioinformatics 17 (5), 819-830, 2016	73	2016
An ontology approach to comparative phenomics in plants A Oellrich, RL Walls, EKS Cannon, SB Cannon, L Cooper, J Gardiner, ... Plant methods 11, 1-15, 2015	67	2015
Interoperability between phenotype and anatomy ontologies R Hoehndorf, A Oellrich, D Rebholz-Schuhmann Bioinformatics 26 (24), 3112-3118, 2010	60	2010
Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning R Hoehndorf, M Dumontier, A Oellrich, D Rebholz-Schuhmann, ... PloS one 6 (7), e22006, 2011	58	2011
Don’t Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records G Gkotsis, S Velupillai, A Oellrich, H Dean, M Liakata, R Dutta Third Computational Linguistics and Clinical Psychology Workshop (NAACL), 2016	57	2016
A common layer of interoperability for biomedical ontologies based on OWL EL R Hoehndorf, M Dumontier, A Oellrich, S Wimalaratne, ... Bioinformatics 27 (7), 1001-1008, 2011	56	2011
PhenoMiner: from text to a database of phenotypes associated with OMIM diseases N Collier, T Groza, D Smedley, PN Robinson, A Oellrich, ... Database 2015, bav104, 2015	41	2015
Linking gene expression to phenotypes via pathway information I Papatheodorou, A Oellrich, D Smedley Journal of biomedical semantics 6, 1-7, 2015	39	2015
Sanger Mouse Genetics P, Wang K, Mungall CJ, et al. Improved exome prioritization of disease genes through cross-species phenotype comparison PN Robinson, S Kohler, A Oellrich Genome Res 24 (2), 340-8, 2014	35	2014
Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes A Oellrich, N Collier, D Smedley, T Groza PloS one 10 (1), e0116040, 2015	31	2015
Linking PharmGKB to phenotype studies and animal models of disease for drug repurposing R Hoehndorf, A Oellrich, D Rebholz-Schuhmann, PN Schofield, ... Biocomputing 2012, 388-399, 2012	30	2012
Improving disease gene prioritization by comparing the semantic similarity of phenotypes in mice with those of human diseases A Oellrich, R Hoehndorf, GV Gkoutos, D Rebholz-Schuhmann PloS one 7 (6), e38937, 2012	28	2012

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