Anika Cawthorn (formerly Oellrich)

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Dietrich Rebholz-SchuhmannZB MED -- Information Center for Life SciencesEmail confirmado em zbmed.de
Damian SmedleyQueen Mary University of LondonEmail confirmado em qmul.ac.uk
Robert HoehndorfKing Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
Nigel CollierProfessor of Natural Language Processing, University of CambridgeEmail confirmado em cam.ac.uk
Peter RobinsonBerlin Institute of Health, Charité - Universitätsmedizin, Berlin, GermanyEmail confirmado em bih-charite.de
Sebastian KöhlerExpert AI engineer, Ada Health; Member of Monarch InitiativeEmail confirmado em ada.com
Tudor GrozaBioinformatics Institute, A*STAREmail confirmado em bii.a-star.edu.sg
Christopher J MungallLawrence Berkeley National LaboratoryEmail confirmado em lbl.gov
Michel DumontierDistinguished Professor of Data Science, Maastricht UniversityEmail confirmado em maastrichtuniversity.nl
Maria LiakataProfessor Queen Mary University of London/University of Warwick, Alan Turing Institute AI FellowEmail confirmado em qmul.ac.uk
Nicole L WashingtonHelixEmail confirmado em helix.com
George GkotsisMachine Learning at UpworkEmail confirmado em kcl.ac.uk
Kai WangChildren's Hospital of PhiladelphiaEmail confirmado em email.chop.edu
Prof. Dr. med., Dipl. Phys. Peter KrawitzInstitute for Genomic Statistics and BioinformaticsEmail confirmado em uni-bonn.de
Sebastian BauerEmail confirmado em sebastianbauer.info
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityEmail confirmado em stanford.edu
Irene PapatheodorouEarlham InstituteEmail confirmado em ebi.ac.uk
Mai-Vu Tran (Trần Mai Vũ)VNU University of Engineering and Technology, Vietnam National University, HanoiEmail confirmado em vnu.edu.vn
Janet KelsoMPI EVAEmail confirmado em eva.mpg.de
Sarala M WimalaratneDataCiteEmail confirmado em datacite.org

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Anika Cawthorn (formerly Oellrich)

University College London

Email confirmado em ucl.ac.uk

Computational biology Knowledge representation Semantic similarity Electronic Health Records Virtual patient


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	392	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	306	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	277	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	147	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	86	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	74	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	59	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	42	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	36	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	31	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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