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.
74 related articles for article (PubMed ID: 14632420)
1. Mining biological data using self-organizing map. Yang ZR; Chou KC J Chem Inf Comput Sci; 2003; 43(6):1748-53. PubMed ID: 14632420 [TBL] [Abstract][Full Text] [Related]
2. HIV-1 protease cleavage site prediction based on amino acid property. Niu B; Lu L; Liu L; Gu TH; Feng KY; Lu WC; Cai YD J Comput Chem; 2009 Jan; 30(1):33-9. PubMed ID: 18496789 [TBL] [Abstract][Full Text] [Related]
3. Self-organizing neural networks to support the discovery of DNA-binding motifs. Mahony S; Benos PV; Smith TJ; Golden A Neural Netw; 2006; 19(6-7):950-62. PubMed ID: 16839740 [TBL] [Abstract][Full Text] [Related]
4. TreeSOM: Cluster analysis in the self-organizing map. Samsonova EV; Kok JN; Ijzerman AP Neural Netw; 2006; 19(6-7):935-49. PubMed ID: 16781116 [TBL] [Abstract][Full Text] [Related]
5. EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments. Gelly JC; Chiche L; Gracy J BMC Bioinformatics; 2005 Jan; 6():4. PubMed ID: 15638949 [TBL] [Abstract][Full Text] [Related]
6. Mining HIV protease cleavage data using genetic programming with a sum-product function. Yang ZR; Dalby AR; Qiu J Bioinformatics; 2004 Dec; 20(18):3398-405. PubMed ID: 15256407 [TBL] [Abstract][Full Text] [Related]
8. A method for aligning RNA secondary structures and its application to RNA motif detection. Liu J; Wang JT; Hu J; Tian B BMC Bioinformatics; 2005 Apr; 6():89. PubMed ID: 15817128 [TBL] [Abstract][Full Text] [Related]
9. Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins. Nanni L; Lumini A Amino Acids; 2009 Mar; 36(3):409-16. PubMed ID: 18401541 [TBL] [Abstract][Full Text] [Related]
11. The extraction of information and knowledge from trained neural networks. Livingstone DJ; Browne A; Crichton R; Hudson BD; Whitley DC; Ford MG Methods Mol Biol; 2008; 458():231-48. PubMed ID: 19065813 [TBL] [Abstract][Full Text] [Related]
12. Understanding and reducing variability of SOM neighbourhood structure. Rousset P; Guinot C; Maillet B Neural Netw; 2006; 19(6-7):838-46. PubMed ID: 16828258 [TBL] [Abstract][Full Text] [Related]
13. A Gibbs sampling approach to detection of tree motifs. Meireles LM; Akutsu T Genome Inform; 2005; 16(1):34-43. PubMed ID: 16362904 [TBL] [Abstract][Full Text] [Related]
15. Construction, training and clinical validation of an interpretation system for genotypic HIV-1 drug resistance based on fuzzy rules revised by virological outcomes. De Luca A; Vendittelli M; Baldini F; Di Giambenedetto S; Trotta MP; Cingolani A; Bacarelli A; Gori C; Perno CF; Antinori A; Ulivi G Antivir Ther; 2004 Aug; 9(4):583-93. PubMed ID: 15456090 [TBL] [Abstract][Full Text] [Related]
16. Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space. Fromer M; Yanover C Proteins; 2009 May; 75(3):682-705. PubMed ID: 19003998 [TBL] [Abstract][Full Text] [Related]
17. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein. Raghava GP; Han JH BMC Bioinformatics; 2005 Mar; 6():59. PubMed ID: 15773999 [TBL] [Abstract][Full Text] [Related]
18. MOLE: a data management application based on a protein production data model. Morris C; Wood P; Griffiths SL; Wilson KS; Ashton AW Proteins; 2005 Feb; 58(2):285-9. PubMed ID: 15468326 [TBL] [Abstract][Full Text] [Related]
19. Self-Organizing Map (SOM) unveils and visualizes hidden sequence characteristics of a wide range of eukaryote genomes. Abe T; Sugawara H; Kanaya S; Kinouchi M; Ikemura T Gene; 2006 Jan; 365():27-34. PubMed ID: 16364569 [TBL] [Abstract][Full Text] [Related]
20. Variable context Markov chains for HIV protease cleavage site prediction. Oğul H Biosystems; 2009 Jun; 96(3):246-50. PubMed ID: 19758550 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]