These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 15960834)

  • 21. Data-poor categorization and passage retrieval for gene ontology annotation in Swiss-Prot.
    Ehrler F; Geissbühler A; Jimeno A; Ruch P
    BMC Bioinformatics; 2005; 6 Suppl 1(Suppl 1):S23. PubMed ID: 15960836
    [TBL] [Abstract][Full Text] [Related]  

  • 22. BioLMiner System: interaction normalization task and interaction pair task in the BioCreative II.5 challenge.
    Chen Y; Liu F; Manderick B
    IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(3):428-41. PubMed ID: 20671315
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A relation based measure of semantic similarity for Gene Ontology annotations.
    Sheehan B; Quigley A; Gaudin B; Dobson S
    BMC Bioinformatics; 2008 Nov; 9():468. PubMed ID: 18983678
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Gene ontology annotation by density and gravitation models.
    Hou WJ; Lin KH; Chen HH
    Genome Inform; 2006; 17(2):110-20. PubMed ID: 17503384
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Automatic extraction of gene/protein biological functions from biomedical text.
    Koike A; Niwa Y; Takagi T
    Bioinformatics; 2005 Apr; 21(7):1227-36. PubMed ID: 15509601
    [TBL] [Abstract][Full Text] [Related]  

  • 26. How to decide which are the most pertinent overly-represented features during gene set enrichment analysis.
    Barriot R; Sherman DJ; Dutour I
    BMC Bioinformatics; 2007 Sep; 8():332. PubMed ID: 17848190
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Text-mining approaches in molecular biology and biomedicine.
    Krallinger M; Erhardt RA; Valencia A
    Drug Discov Today; 2005 Mar; 10(6):439-45. PubMed ID: 15808823
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?
    Winnenburg R; Wächter T; Plake C; Doms A; Schroeder M
    Brief Bioinform; 2008 Nov; 9(6):466-78. PubMed ID: 19060303
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Recognition of protein/gene names from text using an ensemble of classifiers.
    Zhou G; Shen D; Zhang J; Su J; Tan S
    BMC Bioinformatics; 2005; 6 Suppl 1(Suppl 1):S7. PubMed ID: 15960841
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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; 7(3):421-7. PubMed ID: 20671314
    [TBL] [Abstract][Full Text] [Related]  

  • 31. MILANO--custom annotation of microarray results using automatic literature searches.
    Rubinstein R; Simon I
    BMC Bioinformatics; 2005 Jan; 6():12. PubMed ID: 15661078
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Additional gene ontology structure for improved biological reasoning.
    Myhre S; Tveit H; Mollestad T; Laegreid A
    Bioinformatics; 2006 Aug; 22(16):2020-7. PubMed ID: 16787968
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Multi-dimensional classification of biomedical text: toward automated, practical provision of high-utility text to diverse users.
    Shatkay H; Pan F; Rzhetsky A; Wilbur WJ
    Bioinformatics; 2008 Sep; 24(18):2086-93. PubMed ID: 18718948
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Status of text-mining techniques applied to biomedical text.
    Erhardt RA; Schneider R; Blaschke C
    Drug Discov Today; 2006 Apr; 11(7-8):315-25. PubMed ID: 16580973
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Literature-based concept profiles for gene annotation: the issue of weighting.
    Jelier R; Schuemie MJ; Roes PJ; van Mulligen EM; Kors JA
    Int J Med Inform; 2008 May; 77(5):354-62. PubMed ID: 17827057
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Exploring the boundaries: gene and protein identification in biomedical text.
    Finkel J; Dingare S; Manning CD; Nissim M; Alex B; Grover C
    BMC Bioinformatics; 2005; 6 Suppl 1(Suppl 1):S5. PubMed ID: 15960839
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Gene Ontology annotations: what they mean and where they come from.
    Hill DP; Smith B; McAndrews-Hill MS; Blake JA
    BMC Bioinformatics; 2008 Apr; 9 Suppl 5(Suppl 5):S2. PubMed ID: 18460184
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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(Suppl 2):S5. PubMed ID: 18834496
    [TBL] [Abstract][Full Text] [Related]  

  • 39. OntoGene in BioCreative II.
    Rinaldi F; Kappeler T; Kaljurand K; Schneider G; Klenner M; Clematide S; Hess M; von Allmen JM; Parisot P; Romacker M; Vachon T
    Genome Biol; 2008; 9 Suppl 2(Suppl 2):S13. PubMed ID: 18834491
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Using positive and negative patterns to extract information from journal articles regarding the regulation of a target gene by a transcription factor.
    Wang HC; Kooi TK; Kao HY; Lin SC; Tsai SJ
    Comput Biol Med; 2013 Dec; 43(12):2214-21. PubMed ID: 24290938
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.