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Items: 1 to 20 of 135

1.

A multi-level text mining method to extract biological relationships.

Palakal M, Stephens M, Mukhopadhyay S, Raje R, Rhodes S.

Proc IEEE Comput Soc Bioinform Conf. 2002;1:97-108.

PMID:
15838127
2.

Identification of biological relationships from text documents using efficient computational methods.

Palakal M, Stephens M, Mukhopadhyay S, Raje R, Rhodes S.

J Bioinform Comput Biol. 2003 Jul;1(2):307-42.

PMID:
15290775
3.

Literature mining and database annotation of protein phosphorylation using a rule-based system.

Hu ZZ, Narayanaswamy M, Ravikumar KE, Vijay-Shanker K, Wu CH.

Bioinformatics. 2005 Jun 1;21(11):2759-65.

4.

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.

5.

Protein annotation by EBIMed.

Rebholz-Schuhmann D, Kirsch H, Arregui M, Gaudan S, Rynbeek M, Stoehr P.

Nat Biotechnol. 2006 Aug;24(8):902-3. No abstract available.

PMID:
16900125
6.

The emerging in-silico scientist: how text-based bioinformatics is bridging biology and artificial intelligence.

Wren JD.

IEEE Eng Med Biol Mag. 2004 Mar-Apr;23(2):87-93. No abstract available.

PMID:
15264477
7.

Automatic extraction of gene/protein biological functions from biomedical text.

Koike A, Niwa Y, Takagi T.

Bioinformatics. 2005 Apr 1;21(7):1227-36.

8.

MedScan, a natural language processing engine for MEDLINE abstracts.

Novichkova S, Egorov S, Daraselia N.

Bioinformatics. 2003 Sep 1;19(13):1699-706.

9.

Corpus annotation for mining biomedical events from literature.

Kim JD, Ohta T, Tsujii J.

BMC Bioinformatics. 2008 Jan 8;9:10. doi: 10.1186/1471-2105-9-10.

10.

Text mining biomedical literature for discovering gene-to-gene relationships: a comparative study of algorithms.

Liu Y, Navathe SB, Civera J, Dasigi V, Ram A, Ciliax BJ, Dingledine R.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Jan-Mar;2(1):62-76.

PMID:
17044165
11.

Text comparison based on dynamic programming.

Pertsemlidis A, Garner HR.

IEEE Eng Med Biol Mag. 2004 Nov-Dec;23(6):66-71. No abstract available.

PMID:
15688594
12.

Text mining and ontologies in biomedicine: making sense of raw text.

Spasic I, Ananiadou S, McNaught J, Kumar A.

Brief Bioinform. 2005 Sep;6(3):239-51. Review.

13.

BioRAT: extracting biological information from full-length papers.

Corney DP, Buxton BF, Langdon WB, Jones DT.

Bioinformatics. 2004 Nov 22;20(17):3206-13.

14.

Discovering patterns to extract protein-protein interactions from the literature: Part II.

Hao Y, Zhu X, Huang M, Li M.

Bioinformatics. 2005 Aug 1;21(15):3294-300.

15.

GENIA corpus--semantically annotated corpus for bio-textmining.

Kim JD, Ohta T, Tateisi Y, Tsujii J.

Bioinformatics. 2003;19 Suppl 1:i180-2.

16.

MedEvi: retrieving textual evidence of relations between biomedical concepts from Medline.

Kim JJ, Pezik P, Rebholz-Schuhmann D.

Bioinformatics. 2008 Jun 1;24(11):1410-2. doi: 10.1093/bioinformatics/btn117.

17.

Substring selection for biomedical document classification.

Han B, Obradovic Z, Hu ZZ, Wu CH, Vucetic S.

Bioinformatics. 2006 Sep 1;22(17):2136-42.

18.

AliBaba: PubMed as a graph.

Plake C, Schiemann T, Pankalla M, Hakenberg J, Leser U.

Bioinformatics. 2006 Oct 1;22(19):2444-5.

19.

An architecture for biological information extraction and representation.

Vailaya A, Bluvas P, Kincaid R, Kuchinsky A, Creech M, Adler A.

Bioinformatics. 2005 Feb 15;21(4):430-8.

20.

Knowledge discovery by automated identification and ranking of implicit relationships.

Wren JD, Bekeredjian R, Stewart JA, Shohet RV, Garner HR.

Bioinformatics. 2004 Feb 12;20(3):389-98.

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