Support vector machines for predicting protein structural class
about
Semi-supervised protein subcellular localizationCharacterization of protein secondary structure from NMR chemical shiftsPrediction of protein structural class with Rough Sets.Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similaritiesProtein structure and fold prediction using Tree-Augmented naïve Bayesian classifier.Proposing a highly accurate protein structural class predictor using segmentation-based features.SCPRED: accurate prediction of protein structural class for sequences of twilight-zone similarity with predicting sequences.Classifying RNA-binding proteins based on electrostatic propertiesSupport Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures.Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.Demonstration of two novel methods for predicting functional siRNA efficiency.Protein structural class prediction based on an improved statistical strategy.Modular prediction of protein structural classes from sequences of twilight-zone identity with predicting sequences.Automatic structure classification of small proteins using random forest.Accurate prediction of protein structural class.ProFET: Feature engineering captures high-level protein functions.PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach.Kernel-based logistic regression model for protein sequence without vectorialization.Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.A time-series-based feature extraction approach for prediction of protein structural class.The prediction of protein structural class using averaged chemical shifts.A novel Multi-Agent Ada-Boost algorithm for predicting protein structural class with the information of protein secondary structure.Serum proteomic pattern analysis for early cancer detection.Accurate prediction of protein structural class using auto covariance transformation of PSI-BLAST profiles.TOWARDS CLASSIFYING ORGANISMS BASED ON THEIR PROTEIN PHYSICOCHEMICAL PROPERTIES USING COMPARATIVE INTELLIGENT TECHNIQUES
P2860
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P2860
Support vector machines for predicting protein structural class
description
2001 nî lūn-bûn
@nan
2001 թուականին հրատարակուած գիտական յօդուած
@hyw
2001 թվականին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Support vector machines for predicting protein structural class
@ast
Support vector machines for predicting protein structural class
@en
Support vector machines for predicting protein structural class
@nl
type
label
Support vector machines for predicting protein structural class
@ast
Support vector machines for predicting protein structural class
@en
Support vector machines for predicting protein structural class
@nl
prefLabel
Support vector machines for predicting protein structural class
@ast
Support vector machines for predicting protein structural class
@en
Support vector machines for predicting protein structural class
@nl
P2093
P2860
P356
P1433
P1476
Support vector machines for predicting protein structural class
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-2-3
P407
P50
P577
2001-01-01T00:00:00Z
P5875
P6179
1014239367