133 related articles for article (PubMed ID: 17168331)
21. [A study on the pattern recognition of thermophilic and mesophilic proteins].
Zhang GY; Fang BS
Sheng Wu Gong Cheng Xue Bao; 2005 Nov; 21(6):960-4. PubMed ID: 16468353
[TBL] [Abstract][Full Text] [Related]
22. Discrimination of outer membrane proteins using machine learning algorithms.
Gromiha MM; Suwa M
Proteins; 2006 Jun; 63(4):1031-7. PubMed ID: 16493651
[TBL] [Abstract][Full Text] [Related]
23. Auditory brainstem response classification: a hybrid model using time and frequency features.
Davey R; McCullagh P; Lightbody G; McAllister G
Artif Intell Med; 2007 May; 40(1):1-14. PubMed ID: 16930965
[TBL] [Abstract][Full Text] [Related]
24. Prediction of protein structural class with Rough Sets.
Cao Y; Liu S; Zhang L; Qin J; Wang J; Tang K
BMC Bioinformatics; 2006 Jan; 7():20. PubMed ID: 16412240
[TBL] [Abstract][Full Text] [Related]
25. Benchmarking protein classification algorithms via supervised cross-validation.
Kertész-Farkas A; Dhir S; Sonego P; Pacurar M; Netoteia S; Nijveen H; Kuzniar A; Leunissen JA; Kocsor A; Pongor S
J Biochem Biophys Methods; 2008 Apr; 70(6):1215-23. PubMed ID: 17604112
[TBL] [Abstract][Full Text] [Related]
26. A novel hierarchical ensemble classifier for protein fold recognition.
Guo X; Gao X
Protein Eng Des Sel; 2008 Nov; 21(11):659-64. PubMed ID: 18772197
[TBL] [Abstract][Full Text] [Related]
27. Protein classification based on text document classification techniques.
Cheng BY; Carbonell JG; Klein-Seetharaman J
Proteins; 2005 Mar; 58(4):955-70. PubMed ID: 15645499
[TBL] [Abstract][Full Text] [Related]
28. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
29. Experiments with AdaBoost.RT, an improved boosting scheme for regression.
Shrestha DL; Solomatine DP
Neural Comput; 2006 Jul; 18(7):1678-710. PubMed ID: 16764518
[TBL] [Abstract][Full Text] [Related]
30. Boosting alternating decision trees modeling of disease trait information.
Liu KY; Lin J; Zhou X; Wong ST
BMC Genet; 2005 Dec; 6 Suppl 1(Suppl 1):S132. PubMed ID: 16451591
[TBL] [Abstract][Full Text] [Related]
31. Prediction of subcellular localization of eukaryotic proteins using position-specific profiles and neural network with weighted inputs.
Zou L; Wang Z; Huang J
J Genet Genomics; 2007 Dec; 34(12):1080-7. PubMed ID: 18155620
[TBL] [Abstract][Full Text] [Related]
32. Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction.
Shen HB; Yang J; Chou KC
Amino Acids; 2007 Jul; 33(1):57-67. PubMed ID: 17235453
[TBL] [Abstract][Full Text] [Related]
33. Ensemble classifier for protein fold pattern recognition.
Shen HB; Chou KC
Bioinformatics; 2006 Jul; 22(14):1717-22. PubMed ID: 16672258
[TBL] [Abstract][Full Text] [Related]
34. Artificial neural networks and decision tree model analysis of liver cancer proteomes.
Luk JM; Lam BY; Lee NP; Ho DW; Sham PC; Chen L; Peng J; Leng X; Day PJ; Fan ST
Biochem Biophys Res Commun; 2007 Sep; 361(1):68-73. PubMed ID: 17644064
[TBL] [Abstract][Full Text] [Related]
35. [Data mining in diagnostic knowledge acquisition from patients with brain glioma].
Yei C; Yang J; Geng D
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2002 Sep; 19(3):426-30. PubMed ID: 12557514
[TBL] [Abstract][Full Text] [Related]
36. Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.
Akdemir B; Kara S; Polat K; Güven A; Güneş S
Artif Intell Med; 2008 Jun; 43(2):141-9. PubMed ID: 18468871
[TBL] [Abstract][Full Text] [Related]
37. Non-parametric classification of protein secondary structures.
Zintzaras E; Brown NP; Kowald A
Comput Biol Med; 2006 Feb; 36(2):145-56. PubMed ID: 16389074
[TBL] [Abstract][Full Text] [Related]
38. Classification of EEG signals using neural network and logistic regression.
Subasi A; Erçelebi E
Comput Methods Programs Biomed; 2005 May; 78(2):87-99. PubMed ID: 15848265
[TBL] [Abstract][Full Text] [Related]
39. Practical outcomes of applying ensemble machine learning classifiers to High-Throughput Screening (HTS) data analysis and screening.
Simmons K; Kinney J; Owens A; Kleier DA; Bloch K; Argentar D; Walsh A; Vaidyanathan G
J Chem Inf Model; 2008 Nov; 48(11):2196-206. PubMed ID: 18983143
[TBL] [Abstract][Full Text] [Related]
40. Boosting for high-dimensional two-class prediction.
Blagus R; Lusa L
BMC Bioinformatics; 2015 Sep; 16():300. PubMed ID: 26390865
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]