280 related articles for article (PubMed ID: 17140725)
61. In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.
Liao Z; Huang Y; Yue X; Lu H; Xuan P; Ju Y
Biomed Res Int; 2016; 2016():2375268. PubMed ID: 27579307
[TBL] [Abstract][Full Text] [Related]
62. Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs.
Shamim MT; Anwaruddin M; Nagarajaram HA
Bioinformatics; 2007 Dec; 23(24):3320-7. PubMed ID: 17989092
[TBL] [Abstract][Full Text] [Related]
63. Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model.
Khan ZU; Hayat M; Khan MA
J Theor Biol; 2015 Jan; 365():197-203. PubMed ID: 25452135
[TBL] [Abstract][Full Text] [Related]
64. Accurate prediction of enzyme mutant activity based on a multibody statistical potential.
Masso M; Vaisman II
Bioinformatics; 2007 Dec; 23(23):3155-61. PubMed ID: 17977887
[TBL] [Abstract][Full Text] [Related]
65. Prediction of enzyme subfamily class via pseudo amino acid composition by incorporating the conjoint triad feature.
Wang YC; Wang XB; Yang ZX; Deng NY
Protein Pept Lett; 2010 Nov; 17(11):1441-9. PubMed ID: 20666729
[TBL] [Abstract][Full Text] [Related]
66. Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution.
Shi JY; Zhang SW; Pan Q; Zhou GP
Amino Acids; 2008 Aug; 35(2):321-7. PubMed ID: 18209947
[TBL] [Abstract][Full Text] [Related]
67. Predicting protein structural class by SVM with class-wise optimized features and decision probabilities.
Anand A; Pugalenthi G; Suganthan PN
J Theor Biol; 2008 Jul; 253(2):375-80. PubMed ID: 18423492
[TBL] [Abstract][Full Text] [Related]
68. Protein secondary structure prediction based on the fuzzy support vector machine with the hyperplane optimization.
Xie S; Li Z; Hu H
Gene; 2018 Feb; 642():74-83. PubMed ID: 29104167
[TBL] [Abstract][Full Text] [Related]
69. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine.
Li ZC; Zhou XB; Lin YR; Zou XY
Amino Acids; 2008 Oct; 35(3):581-90. PubMed ID: 18427714
[TBL] [Abstract][Full Text] [Related]
70. Discrimination of outer membrane proteins using a K-nearest neighbor method.
Yan C; Hu J; Wang Y
Amino Acids; 2008 Jun; 35(1):65-73. PubMed ID: 18219549
[TBL] [Abstract][Full Text] [Related]
71. Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.
Masso M; Vaisman II
Bioinformatics; 2008 Sep; 24(18):2002-9. PubMed ID: 18632749
[TBL] [Abstract][Full Text] [Related]
72. ECS: an automatic enzyme classifier based on functional domain composition.
Lu L; Qian Z; Cai YD; Li Y
Comput Biol Chem; 2007 Jun; 31(3):226-32. PubMed ID: 17500036
[TBL] [Abstract][Full Text] [Related]
73. Prediction of protein structural class using novel evolutionary collocation-based sequence representation.
Chen K; Kurgan LA; Ruan J
J Comput Chem; 2008 Jul; 29(10):1596-604. PubMed ID: 18293306
[TBL] [Abstract][Full Text] [Related]
74. A hybrid approach to medical decision support systems: combining feature selection, fuzzy weighted pre-processing and AIRS.
Polat K; Güneş S
Comput Methods Programs Biomed; 2007 Nov; 88(2):164-74. PubMed ID: 17884235
[TBL] [Abstract][Full Text] [Related]
75. A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.
Sahan S; Polat K; Kodaz H; Güneş S
Comput Biol Med; 2007 Mar; 37(3):415-23. PubMed ID: 16904096
[TBL] [Abstract][Full Text] [Related]
76. An optimization approach to predicting protein structural class from amino acid composition.
Zhang CT; Chou KC
Protein Sci; 1992 Mar; 1(3):401-8. PubMed ID: 1304347
[TBL] [Abstract][Full Text] [Related]
77. A Generic multi-dimensional feature extraction method using multiobjective genetic programming.
Zhang Y; Rockett PI
Evol Comput; 2009; 17(1):89-115. PubMed ID: 19207089
[TBL] [Abstract][Full Text] [Related]
78. PFRES: protein fold classification by using evolutionary information and predicted secondary structure.
Chen K; Kurgan L
Bioinformatics; 2007 Nov; 23(21):2843-50. PubMed ID: 17942446
[TBL] [Abstract][Full Text] [Related]
79. An ensemble of reduced alphabets with protein encoding based on grouped weight for predicting DNA-binding proteins.
Nanni L; Lumini A
Amino Acids; 2009 Feb; 36(2):167-75. PubMed ID: 18288459
[TBL] [Abstract][Full Text] [Related]
80. FRKAS: knowledge acquisition using a fuzzy rule base approach to insight of DNA-binding domains/proteins.
Huang HL; Chang FL; Ho SJ; Shu LS; Huang WL; Ho SY
Protein Pept Lett; 2013 Mar; 20(3):299-308. PubMed ID: 22591472
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
