171 related articles for article (PubMed ID: 22622817)
1. Biomedical application of fuzzy association rules for identifying breast cancer biomarkers.
Lopez FJ; Cuadros M; Cano C; Concha A; Blanco A
Med Biol Eng Comput; 2012 Sep; 50(9):981-90. PubMed ID: 22622817
[TBL] [Abstract][Full Text] [Related]
2. A quantifier-based fuzzy classification system for breast cancer patients.
Soria D; Garibaldi JM; Green AR; Powe DG; Nolan CC; Lemetre C; Ball GR; Ellis IO
Artif Intell Med; 2013 Jul; 58(3):175-84. PubMed ID: 23791088
[TBL] [Abstract][Full Text] [Related]
3. Using fuzzy association rule mining in cancer classification.
Mahmoodian H; Hamiruce Marhaban M; Abdulrahim R; Rosli R; Saripan I
Australas Phys Eng Sci Med; 2011 Apr; 34(1):41-54. PubMed ID: 21327594
[TBL] [Abstract][Full Text] [Related]
4. A comparative study of fuzzy classification methods on breast cancer data.
Jain R; Abraham A
Australas Phys Eng Sci Med; 2004 Dec; 27(4):213-8. PubMed ID: 15712589
[TBL] [Abstract][Full Text] [Related]
5. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
Pal NR; Aguan K; Sharma A; Amari S
BMC Bioinformatics; 2007 Jan; 8():5. PubMed ID: 17207284
[TBL] [Abstract][Full Text] [Related]
6. Portraits of breast cancer progression.
Dalgin GS; Alexe G; Scanfeld D; Tamayo P; Mesirov JP; Ganesan S; DeLisi C; Bhanot G
BMC Bioinformatics; 2007 Aug; 8():291. PubMed ID: 17683614
[TBL] [Abstract][Full Text] [Related]
7. Predicting the continuous values of breast cancer relapse time by type-2 fuzzy logic system.
Mahmoodian H
Australas Phys Eng Sci Med; 2012 Jun; 35(2):193-204. PubMed ID: 22733123
[TBL] [Abstract][Full Text] [Related]
8. Fuzzy association rules for biological data analysis: a case study on yeast.
Lopez FJ; Blanco A; Garcia F; Cano C; Marin A
BMC Bioinformatics; 2008 Feb; 9():107. PubMed ID: 18284669
[TBL] [Abstract][Full Text] [Related]
9. Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.
Smith DD; Saetrom P; Snøve O; Lundberg C; Rivas GE; Glackin C; Larson GP
BMC Bioinformatics; 2008 Jan; 9():63. PubMed ID: 18226260
[TBL] [Abstract][Full Text] [Related]
10. Generating fuzzy rules for constructing interpretable classifier of diabetes disease.
Settouti N; Chikh MA; Saidi M
Australas Phys Eng Sci Med; 2012 Sep; 35(3):257-70. PubMed ID: 22895813
[TBL] [Abstract][Full Text] [Related]
11. Integration of clinical and microarray data with kernel methods.
Daemen A; Gevaert O; De Moor B
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5411-5. PubMed ID: 18003232
[TBL] [Abstract][Full Text] [Related]
12. Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.
Kempowsky-Hamon T; Valle C; Lacroix-Triki M; Hedjazi L; Trouilh L; Lamarre S; Labourdette D; Roger L; Mhamdi L; Dalenc F; Filleron T; Favre G; François JM; Le Lann MV; Anton-Leberre V
BMC Med Genomics; 2015 Feb; 8():3. PubMed ID: 25888889
[TBL] [Abstract][Full Text] [Related]
13. Evolutionary design of a fuzzy classifier from data.
Chang X; Lilly JH
IEEE Trans Syst Man Cybern B Cybern; 2004 Aug; 34(4):1894-906. PubMed ID: 15462454
[TBL] [Abstract][Full Text] [Related]
14. Extracting very simple diagnostic rules from microarray data.
Wang L; Chu F
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():807-10. PubMed ID: 21096115
[TBL] [Abstract][Full Text] [Related]
15. A fuzzy-genetic approach to breast cancer diagnosis.
Pena-Reyes CA; Sipper M
Artif Intell Med; 1999 Oct; 17(2):131-55. PubMed ID: 10518048
[TBL] [Abstract][Full Text] [Related]
16. Merging microarray data from separate breast cancer studies provides a robust prognostic test.
Xu L; Tan AC; Winslow RL; Geman D
BMC Bioinformatics; 2008 Feb; 9():125. PubMed ID: 18304324
[TBL] [Abstract][Full Text] [Related]
17. Network motif-based identification of breast cancer susceptibility genes.
Zhang Y; Xuan J; de Los Reyes BG; Clarke R; Ressom HW
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5696-9. PubMed ID: 19164010
[TBL] [Abstract][Full Text] [Related]
18. A comparison of methodologies for fuzzy expert system creation--application to arrhythmic beat classification.
Tsipouras MG; Exarchos TP; Fotiadis DI
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2316-9. PubMed ID: 17946103
[TBL] [Abstract][Full Text] [Related]
19. Smoothing blemished gene expression microarray data via missing value imputation.
Cai Z; Shi Y; Song M; Goebel R; Lin G
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5688-91. PubMed ID: 19164008
[TBL] [Abstract][Full Text] [Related]
20. Fuzzy rule-based seizure prediction based on correlation dimension changes in intracranial EEG.
Rabbi AF; Aarabi A; Fazel-Rezai R
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3301-4. PubMed ID: 21096618
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]