121 related articles for article (PubMed ID: 9504806)
1. Adaptive classification of two-dimensional gel electrophoretic spot patterns by neural networks and cluster analysis.
Vohradský J
Electrophoresis; 1997 Dec; 18(15):2749-54. PubMed ID: 9504806
[TBL] [Abstract][Full Text] [Related]
2. Use of unsupervised and supervised artificial neural networks for the identification of lactic acid bacteria on the basis of SDS-PAGE patterns of whole cell proteins.
Piraino P; Ricciardi A; Salzano G; Zotta T; Parente E
J Microbiol Methods; 2006 Aug; 66(2):336-46. PubMed ID: 16480784
[TBL] [Abstract][Full Text] [Related]
3. Identification of procaryotic developmental stages by statistical analyses of two-dimensional gel patterns.
Vohradský J; Li XM; Thompson CJ
Electrophoresis; 1997 Aug; 18(8):1418-28. PubMed ID: 9298656
[TBL] [Abstract][Full Text] [Related]
4. Extension of mixture-of-experts networks for binary classification of hierarchical data.
Ng SK; McLachlan GJ
Artif Intell Med; 2007 Sep; 41(1):57-67. PubMed ID: 17629686
[TBL] [Abstract][Full Text] [Related]
5. Automatic classification of two-dimensional gel electrophoresis pictures by heuristic clustering analysis: a step toward machine learning.
Appel R; Hochstrasser D; Roch C; Funk M; Muller AF; Pellegrini C
Electrophoresis; 1988 Mar; 9(3):136-42. PubMed ID: 3234347
[TBL] [Abstract][Full Text] [Related]
6. Analysis of tear protein patterns by a neural network as a diagnostical tool for the detection of dry eyes.
Grus FH; Augustin AJ
Electrophoresis; 1999; 20(4-5):875-80. PubMed ID: 10344262
[TBL] [Abstract][Full Text] [Related]
7. Identification of patients with congestive heart failure using different neural networks approaches.
Elfadil N; Hossen A
Technol Health Care; 2009; 17(4):305-21. PubMed ID: 19822947
[TBL] [Abstract][Full Text] [Related]
8. A hybrid approach to clustering biomedical data.
Thayer JF
Biomed Sci Instrum; 1996; 32():39-46. PubMed ID: 8672688
[TBL] [Abstract][Full Text] [Related]
9. Artificial neural networks compared to factor analysis for low-dimensional classification of high-dimensional body fat topography data of healthy and diabetic subjects.
Tafeit E; Möller R; Sudi K; Reibnegger G
Comput Biomed Res; 2000 Oct; 33(5):365-74. PubMed ID: 11017727
[TBL] [Abstract][Full Text] [Related]
10. An incremental network for on-line unsupervised classification and topology learning.
Furao S; Hasegawa O
Neural Netw; 2006 Jan; 19(1):90-106. PubMed ID: 16153805
[TBL] [Abstract][Full Text] [Related]
11. A learning algorithm for adaptive canonical correlation analysis of several data sets.
Vía J; Santamaría I; Pérez J
Neural Netw; 2007 Jan; 20(1):139-52. PubMed ID: 17113263
[TBL] [Abstract][Full Text] [Related]
12. Mapping the dimensionality, density and topology of data: the growing adaptive neural gas.
Cselényi Z
Comput Methods Programs Biomed; 2005 May; 78(2):141-56. PubMed ID: 15848269
[TBL] [Abstract][Full Text] [Related]
13. Training neural networks with heterogeneous data.
Drakopoulos JA; Abdulkader A
Neural Netw; 2005; 18(5-6):595-601. PubMed ID: 16095874
[TBL] [Abstract][Full Text] [Related]
14. Greedy rule generation from discrete data and its use in neural network rule extraction.
Odajima K; Hayashi Y; Tianxia G; Setiono R
Neural Netw; 2008 Sep; 21(7):1020-8. PubMed ID: 18442894
[TBL] [Abstract][Full Text] [Related]
15. Challenges related to analysis of protein spot volumes from two-dimensional gel electrophoresis as revealed by replicate gels.
Grove H; Hollung K; Uhlen AK; Martens H; Faergestad EM
J Proteome Res; 2006 Dec; 5(12):3399-410. PubMed ID: 17137341
[TBL] [Abstract][Full Text] [Related]
16. Automated grading of astrocytomas based on histomorphometric analysis of Ki-67 and Feulgen stained paraffin sections. Classification results of neuronal networks and discriminant analysis.
Kolles H; von Wangenheim A; Vince GH; Niedermayer I; Feiden W
Anal Cell Pathol; 1995 Mar; 8(2):101-16. PubMed ID: 7786811
[TBL] [Abstract][Full Text] [Related]
17. Data splitting for artificial neural networks using SOM-based stratified sampling.
May RJ; Maier HR; Dandy GC
Neural Netw; 2010 Mar; 23(2):283-94. PubMed ID: 19959327
[TBL] [Abstract][Full Text] [Related]
18. An ECG signals compression method and its validation using NNs.
Fira CM; Goras L
IEEE Trans Biomed Eng; 2008 Apr; 55(4):1319-26. PubMed ID: 18390322
[TBL] [Abstract][Full Text] [Related]
19. Strategies and techniques for testing the precision, reliability and reproducibility of computerized two-dimensional gel electrophoresis analysis systems.
Miller MJ; Merril C
Appl Theor Electrophor; 1989; 1(3):127-35. PubMed ID: 2488595
[TBL] [Abstract][Full Text] [Related]
20. Computerized classification of two-dimensional gel electrophoretograms by correspondence analysis and ascendant hierarchical clustering.
Pun T; Hochstrasser DF; Appel RD; Funk M; Villars-Augsburger V; Pellegrini C
Appl Theor Electrophor; 1988; 1(1):3-9. PubMed ID: 3154957
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
