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Items: 1 to 20 of 77


Uncovering protein interaction in abstracts and text using a novel linear model and word proximity networks.

Abi-Haidar A, Kaur J, Maguitman A, Radivojac P, Rechtsteiner A, Verspoor K, Wang Z, Rocha LM.

Genome Biol. 2008;9 Suppl 2:S11. doi: 10.1186/gb-2008-9-s2-s11. Epub 2008 Sep 1.


Classification of protein-protein interaction full-text documents using text and citation network features.

Kolchinsky A, Abi-Haidar A, Kaur J, Hamed AA, Rocha LM.

IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep;7(3):400-11. doi: 10.1109/TCBB.2010.55.


Overview of the protein-protein interaction annotation extraction task of BioCreative II.

Krallinger M, Leitner F, Rodriguez-Penagos C, Valencia A.

Genome Biol. 2008;9 Suppl 2:S4. doi: 10.1186/gb-2008-9-s2-s4. Epub 2008 Sep 1.


A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.

Louren├žo A, Conover M, Wong A, Nematzadeh A, Pan F, Shatkay H, Rocha LM.

BMC Bioinformatics. 2011 Oct 3;12 Suppl 8:S12. doi: 10.1186/1471-2105-12-S8-S12. Erratum in: BMC Bioinformatics. 2012;13:180.


Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles.

Tsai RT, Hung HC, Dai HJ, Lin YW, Hsu WL.

BMC Bioinformatics. 2008;9 Suppl 1:S3. doi: 10.1186/1471-2105-9-S1-S3.


Empirical investigations into full-text protein interaction Article Categorization Task (ACT) in the BioCreative II.5 Challenge.

Lan M, Su J.

IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep;7(3):421-7. doi: 10.1109/TCBB.2010.49.


Mining physical protein-protein interactions from the literature.

Huang M, Ding S, Wang H, Zhu X.

Genome Biol. 2008;9 Suppl 2:S12. doi: 10.1186/gb-2008-9-s2-s12. Epub 2008 Sep 1.


An Overview of BioCreative II.5.

Leitner F, Mardis SA, Krallinger M, Cesareni G, Hirschman LA, Valencia A.

IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep;7(3):385-99.


MINT and IntAct contribute to the Second BioCreative challenge: serving the text-mining community with high quality molecular interaction data.

Chatr-aryamontri A, Kerrien S, Khadake J, Orchard S, Ceol A, Licata L, Castagnoli L, Costa S, Derow C, Huntley R, Aranda B, Leroy C, Thorneycroft D, Apweiler R, Cesareni G, Hermjakob H.

Genome Biol. 2008;9 Suppl 2:S5. doi: 10.1186/gb-2008-9-s2-s5. Epub 2008 Sep 1.


Biomedical named entity recognition using two-phase model based on SVMs.

Lee KJ, Hwang YS, Kim S, Rim HC.

J Biomed Inform. 2004 Dec;37(6):436-47.


Automatic document classification of biological literature.

Chen D, M├╝ller HM, Sternberg PW.

BMC Bioinformatics. 2006 Aug 7;7:370.


BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.

Peng Y, Arighi C, Wu CH, Vijay-Shanker K.

Database (Oxford). 2016 May 11;2016. pii: baw072. doi: 10.1093/database/baw072. Print 2016.


Recognizing names in biomedical texts: a machine learning approach.

Zhou G, Zhang J, Su J, Shen D, Tan C.

Bioinformatics. 2004 May 1;20(7):1178-90. Epub 2004 Feb 10.


Ontology-guided feature engineering for clinical text classification.

Garla VN, Brandt C.

J Biomed Inform. 2012 Oct;45(5):992-8. doi: 10.1016/j.jbi.2012.04.010. Epub 2012 May 9.


Challenges for automatically extracting molecular interactions from full-text articles.

McIntosh T, Curran JR.

BMC Bioinformatics. 2009 Sep 24;10:311. doi: 10.1186/1471-2105-10-311.


Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.

Tang B, Cao H, Wu Y, Jiang M, Xu H.

BMC Med Inform Decis Mak. 2013;13 Suppl 1:S1. doi: 10.1186/1472-6947-13-S1-S1. Epub 2013 Apr 5.


Detecting modification of biomedical events using a deep parsing approach.

Mackinlay A, Martinez D, Baldwin T.

BMC Med Inform Decis Mak. 2012 Apr 30;12 Suppl 1:S4. doi: 10.1186/1472-6947-12-S1-S4.


Dynamic programming re-ranking for PPI interactor and pair extraction in full-text articles.

Tsai RT, Lai PT.

BMC Bioinformatics. 2011 Feb 23;12:60. doi: 10.1186/1471-2105-12-60.

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