A Combination of Feature Extraction Methods with an Ensemble of Different Classifiers for Protein Structural Class Prediction Problem
暂无分享,去创建一个
Abdollah Dehzangi | Alok Sharma | Abdul Sattar | Kuldip Paliwal | Omid Dehzangi | K. Paliwal | A. Dehzangi | Alok Sharma | Abdul Sattar | O. Dehzangi
[1] Somnuk Phon-Amnuaisuk,et al. Protein Fold Prediction Problem Using Ensemble of Classifiers , 2009, ICONIP.
[2] Parviz Abdolmaleki,et al. Novel hybrid method for the evaluation of parameters contributing in determination of protein structural classes. , 2007, Journal of theoretical biology.
[3] Angelo M Facchiano,et al. Prediction of the protein structural class by specific peptide frequencies. , 2009, Biochimie.
[4] Xiaoqi Zheng,et al. Accurate prediction of protein structural class using auto covariance transformation of PSI-BLAST profiles , 2011, Amino Acids.
[5] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[6] M. Michael Gromiha,et al. Multiple Contact Network Is a Key Determinant to Protein Folding Rates , 2009, J. Chem. Inf. Model..
[7] Shuigeng Zhou,et al. A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation , 2009, Bioinform..
[8] Hiroyuki Ogata,et al. AAindex: Amino Acid Index Database , 1999, Nucleic Acids Res..
[9] Y Cai,et al. Prediction of protein structural classes by neural network. , 2000, Biochimie.
[10] Lukasz A. Kurgan,et al. Prediction of protein structural class using novel evolutionary collocation‐based sequence representation , 2008, J. Comput. Chem..
[11] Minoru Kanehisa,et al. AAindex: amino acid index database, progress report 2008 , 2007, Nucleic Acids Res..
[12] Lukasz A. Kurgan,et al. Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences , 2009, BMC Bioinformatics.
[13] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[14] Zheng Yuan,et al. How good is prediction of protein structural class by the component‐coupled method? , 2000, Proteins.
[15] Xin Chen,et al. Prediction of protein structural classes for low-homology sequences based on predicted secondary structure , 2010, BMC Bioinformatics.
[16] Guo-Ping Zhou,et al. An Intriguing Controversy over Protein Structural Class Prediction , 1998, Journal of protein chemistry.
[17] James G. Lyons,et al. A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition. , 2013, Journal of theoretical biology.
[18] Lukasz Kurgan,et al. Prediction of protein structural class for the twilight zone sequences. , 2007, Biochemical and biophysical research communications.
[19] Abdollah Dehzangi,et al. Fold prediction problem: the application of new physical and physicochemical-based features. , 2011, Protein and peptide letters.
[20] Z.-C. Li,et al. Prediction of protein structure class by coupling improved genetic algorithm and support vector machine , 2008, Amino Acids.
[21] Kuo-Chen Chou,et al. Prediction of Protein Structural Classes by Support Vector Machines , 2002, Comput. Chem..
[22] Kuo-Chen Chou,et al. Boosting classifier for predicting protein domain structural class. , 2005, Biochemical and biophysical research communications.
[23] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[24] Lukasz A. Kurgan,et al. Prediction of structural classes for protein sequences and domains - Impact of prediction algorithms, sequence representation and homology, and test procedures on accuracy , 2006, Pattern Recognit..
[25] Kuo-Chen Chou,et al. Predicting protein structural class with AdaBoost Learner. , 2006, Protein and peptide letters.
[26] Geoffrey I. Webb,et al. MultiBoosting: A Technique for Combining Boosting and Wagging , 2000, Machine Learning.
[27] Jun Wang,et al. An information‐theoretic approach to the prediction of protein structural class , 2010, J. Comput. Chem..
[28] C. Chothia,et al. Structural patterns in globular proteins , 1976, Nature.
[29] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[30] N.R. Pal,et al. Prediction of Protein Folds: Extraction of New Features, Dimensionality Reduction, and Fusion of Heterogeneous Classifiers , 2009, IEEE Transactions on NanoBioscience.
[31] Yu-Dong Cai,et al. Support Vector Machines for predicting protein structural class , 2001, BMC Bioinformatics.
[32] Peixiang Cai,et al. Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network. , 2006, Analytical biochemistry.
[33] Babak Nadjar Araabi,et al. A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSM , 2011, Comput. Biol. Chem..
[34] Ganesan Pugalenthi,et al. Predicting protein structural class by SVM with class-wise optimized features and decision probabilities. , 2008, Journal of theoretical biology.
[35] M. Michael Gromiha,et al. A Statistical Model for Predicting Protein Folding Rates from Amino Acid Sequence with Structural Class Information , 2005, J. Chem. Inf. Model..
[36] Kuo-Chen Chou,et al. Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern. , 2008, Journal of theoretical biology.
[37] K. Chou,et al. Using LogitBoost classifier to predict protein structural classes. , 2006, Journal of theoretical biology.
[38] Jian-Ding Qiu,et al. Using support vector machines for prediction of protein structural classes based on discrete wavelet transform , 2009, J. Comput. Chem..
[39] B. Efron,et al. A Leisurely Look at the Bootstrap, the Jackknife, and , 1983 .
[40] Deepak Kolippakkam,et al. APDbase: Amino acid Physicochemical properties Database , 2005, Bioinformation.
[41] Zong Dai,et al. Prediction of protein structural classes by Chou’s pseudo amino acid composition: approached using continuous wavelet transform and principal component analysis , 2009, Amino Acids.
[42] Scott Dick,et al. Classifier ensembles for protein structural class prediction with varying homology. , 2006, Biochemical and biophysical research communications.
[43] A G Murzin,et al. SCOP: a structural classification of proteins database for the investigation of sequences and structures. , 1995, Journal of molecular biology.
[44] Somnuk Phon-Amnuaisuk,et al. Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers , 2009, Aust. J. Intell. Inf. Process. Syst..
[45] Lukasz A. Kurgan,et al. Prediction of Secondary Protein Structure Content from Primary Sequence Alone - A Feature Selection Based Approach , 2005, MLDM.
[46] Lukasz A. Kurgan,et al. Secondary structure-based assignment of the protein structural classes , 2008, Amino Acids.
[47] Pooja Jain,et al. Automatic structure classification of small proteins using random forest , 2010, BMC Bioinformatics.
[48] Abdollah Dehzangi,et al. Solving protein fold prediction problem using fusion of heterogeneous classifiers , 2011 .
[49] Zu-Guo Yu,et al. Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation. , 2009 .
[50] Lukasz A. Kurgan,et al. SCPRED: Accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences , 2008, BMC Bioinformatics.
[51] Ian H. Witten,et al. Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.
[52] Ian Witten,et al. Data Mining , 2000 .
[53] Parviz Abdolmaleki,et al. Novel two-stage hybrid neural discriminant model for predicting proteins structural classes. , 2007, Biophysical chemistry.
[54] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[55] Kuo-Chen Chou,et al. Prediction of protein structure classes with pseudo amino acid composition and fuzzy support vector machine network. , 2007, Protein and peptide letters.
[56] Cangzhi Jia,et al. A high-accuracy protein structural class prediction algorithm using predicted secondary structural information. , 2010, Journal of theoretical biology.
[57] Chris H. Q. Ding,et al. Multi-class protein fold recognition using support vector machines and neural networks , 2001, Bioinform..