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Items: 1 to 20 of 33

1.

Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJP, Dobson RJB, Dutta R.

Sci Rep. 2017 May 16;7:46813. doi: 10.1038/srep46813. No abstract available.

2.

Automated PDF highlighting to support faster curation of literature for Parkinson's and Alzheimer's disease.

Wu H, Oellrich A, Girges C, de Bono B, Hubbard TJ, Dobson RJ.

Database (Oxford). 2017 Jan 1;2017(1). doi: 10.1093/database/bax027.

PMID:
28365743
3.

Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJ, Dobson RJ, Dutta R.

Sci Rep. 2017 Mar 22;7:45141. doi: 10.1038/srep45141.

4.

Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.

Verspoor K, Oellrich A, Collier N, Groza T, Rocca-Serra P, Soldatova L, Dumontier M, Shah N.

J Biomed Semantics. 2016 Dec 12;7(1):66.

5.

Reporting phenotypes in mouse models when considering body size as a potential confounder.

Oellrich A, Meehan TF, Parkinson H, Sarntivijai S, White JK, Karp NA.

J Biomed Semantics. 2016 Feb 9;7:2. doi: 10.1186/s13326-016-0050-8. eCollection 2016. Review.

6.

Special issue on bio-ontologies and phenotypes.

Soldatova LN, Collier N, Oellrich A, Groza T, Verspoor K, Rocca-Serra P, Dumontier M, Shah NH.

J Biomed Semantics. 2015 Dec 17;6:40. doi: 10.1186/s13326-015-0040-2. eCollection 2015.

7.

PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.

Collier N, Groza T, Smedley D, Robinson PN, Oellrich A, Rebholz-Schuhmann D.

Database (Oxford). 2015 Oct 27;2015. pii: bav104. doi: 10.1093/database/bav104. Print 2015.

8.

The digital revolution in phenotyping.

Oellrich A, Collier N, Groza T, Rebholz-Schuhmann D, Shah N, Bodenreider O, Boland MR, Georgiev I, Liu H, Livingston K, Luna A, Mallon AM, Manda P, Robinson PN, Rustici G, Simon M, Wang L, Winnenburg R, Dumontier M.

Brief Bioinform. 2016 Sep;17(5):819-30. doi: 10.1093/bib/bbv083. Epub 2015 Sep 29.

9.

A gene expression resource generated by genome-wide lacZ profiling in the mouse.

Tuck E, Estabel J, Oellrich A, Maguire AK, Adissu HA, Souter L, Siragher E, Lillistone C, Green AL, Wardle-Jones H, Carragher DM, Karp NA, Smedley D, Adams NC; Sanger Institute Mouse Genetics Project., Bussell JN, Adams DJ, Ramírez-Solis R, Steel KP, Galli A, White JK.

Dis Model Mech. 2015 Nov;8(11):1467-78. doi: 10.1242/dmm.021238. Epub 2015 Aug 20.

10.

Disease insights through cross-species phenotype comparisons.

Haendel MA, Vasilevsky N, Brush M, Hochheiser HS, Jacobsen J, Oellrich A, Mungall CJ, Washington N, Köhler S, Lewis SE, Robinson PN, Smedley D.

Mamm Genome. 2015 Oct;26(9-10):548-55. doi: 10.1007/s00335-015-9577-8. Epub 2015 Jun 20. Review.

11.

Concept selection for phenotypes and diseases using learn to rank.

Collier N, Oellrich A, Groza T.

J Biomed Semantics. 2015 Jun 1;6:24. doi: 10.1186/s13326-015-0019-z. eCollection 2015.

12.

Linking gene expression to phenotypes via pathway information.

Papatheodorou I, Oellrich A, Smedley D.

J Biomed Semantics. 2015 Apr 11;6:17. doi: 10.1186/s13326-015-0013-5. eCollection 2015.

13.

An ontology approach to comparative phenomics in plants.

Oellrich A, Walls RL, Cannon EK, Cannon SB, Cooper L, Gardiner J, Gkoutos GV, Harper L, He M, Hoehndorf R, Jaiswal P, Kalberer SR, Lloyd JP, Meinke D, Menda N, Moore L, Nelson RT, Pujar A, Lawrence CJ, Huala E.

Plant Methods. 2015 Feb 25;11:10. doi: 10.1186/s13007-015-0053-y. eCollection 2015.

14.

Automatic concept recognition using the human phenotype ontology reference and test suite corpora.

Groza T, Köhler S, Doelken S, Collier N, Oellrich A, Smedley D, Couto FM, Baynam G, Zankl A, Robinson PN.

Database (Oxford). 2015 Feb 27;2015. pii: bav005. doi: 10.1093/database/bav005. Print 2015.

15.

Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

Oellrich A, Collier N, Smedley D, Groza T.

PLoS One. 2015 Jan 21;10(1):e0116040. doi: 10.1371/journal.pone.0116040. eCollection 2015.

16.

Finding our way through phenotypes.

Deans AR, Lewis SE, Huala E, Anzaldo SS, Ashburner M, Balhoff JP, Blackburn DC, Blake JA, Burleigh JG, Chanet B, Cooper LD, Courtot M, Csösz S, Cui H, Dahdul W, Das S, Dececchi TA, Dettai A, Diogo R, Druzinsky RE, Dumontier M, Franz NM, Friedrich F, Gkoutos GV, Haendel M, Harmon LJ, Hayamizu TF, He Y, Hines HM, Ibrahim N, Jackson LM, Jaiswal P, James-Zorn C, Köhler S, Lecointre G, Lapp H, Lawrence CJ, Le Novère N, Lundberg JG, Macklin J, Mast AR, Midford PE, Mikó I, Mungall CJ, Oellrich A, Osumi-Sutherland D, Parkinson H, Ramírez MJ, Richter S, Robinson PN, Ruttenberg A, Schulz KS, Segerdell E, Seltmann KC, Sharkey MJ, Smith AD, Smith B, Specht CD, Squires RB, Thacker RW, Thessen A, Fernandez-Triana J, Vihinen M, Vize PD, Vogt L, Wall CE, Walls RL, Westerfeld M, Wharton RA, Wirkner CS, Woolley JB, Yoder MJ, Zorn AM, Mabee P.

PLoS Biol. 2015 Jan 6;13(1):e1002033. doi: 10.1371/journal.pbio.1002033. eCollection 2015 Jan.

17.

The influence of disease categories on gene candidate predictions from model organism phenotypes.

Oellrich A, Koehler S, Washington N; Sanger Mouse Genetic Project., Mungall C, Lewis S, Haendel M, Robinson PN, Smedley D.

J Biomed Semantics. 2014 Jun 3;5(Suppl 1 Proceedings of the Bio-Ontologies Spec Interest G):S4. doi: 10.1186/2041-1480-5-S1-S4. eCollection 2014.

18.

Using association rule mining to determine promising secondary phenotyping hypotheses.

Oellrich A, Jacobsen J, Papatheodorou I; Sanger Mouse Genetics Project., Smedley D.

Bioinformatics. 2014 Jun 15;30(12):i52-59. doi: 10.1093/bioinformatics/btu260.

19.

Linking tissues to phenotypes using gene expression profiles.

Oellrich A; Sanger Mouse Genetics Project., Smedley D.

Database (Oxford). 2014 Mar 13;2014:bau017. doi: 10.1093/database/bau017. Print 2014.

20.

Improved exome prioritization of disease genes through cross-species phenotype comparison.

Robinson PN, Köhler S, Oellrich A; Sanger Mouse Genetics Project., Wang K, Mungall CJ, Lewis SE, Washington N, Bauer S, Seelow D, Krawitz P, Gilissen C, Haendel M, Smedley D.

Genome Res. 2014 Feb;24(2):340-8. doi: 10.1101/gr.160325.113. Epub 2013 Oct 25.

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