Hierarchical classification of protein folds using a novel ensemble classifier
about
Survey of Programs Used to Detect Alternative Splicing Isoforms from Deep Sequencing Data In SilicoRecent Progress in Machine Learning-Based Methods for Protein Fold RecognitionPrediction of G Protein-Coupled Receptors with SVM-Prot Features and Random ForestRecognition of 27-class protein folds by adding the interaction of segments and motif information.nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification.Survey of Natural Language Processing Techniques in Bioinformatics.The recognition of multi-class protein folds by adding average chemical shifts of secondary structure elementsIdentification of Multi-Functional Enzyme with Multi-Label ClassifierProtein fold recognition using geometric kernel data fusion.A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data.enDNA-Prot: identification of DNA-binding proteins by applying ensemble learning.A novel HMM distributed classifier for the detection of gait phases by means of a wearable inertial sensor network.An approach for identifying cytokines based on a novel ensemble classifier.Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformationProFET: Feature engineering captures high-level protein functions.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI StudySVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity.In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT ApproachesSequence Based Prediction of Antioxidant Proteins Using a Classifier Selection Strategy.DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representationPPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction PredictionAn information-based network approach for protein classificationDephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.Recombination spot identification Based on gapped k-mers.A deformation energy-based model for predicting nucleosome dyads and occupancyProtein Remote Homology Detection Based on an Ensemble Learning Approach.ProFold: Protein Fold Classification with Additional Structural Features and a Novel Ensemble ClassifierIdentification of DEP domain-containing proteins by a machine learning method and experimental analysis of their expression in human HCC tissues.An overview of SNP interactions in genome-wide association studies.Similarity computation strategies in the microRNA-disease network: a survey.Construction and Identification of the RNAi Recombinant Lentiviral Vector Targeting Human DEPDC7 Gene.Human Protein Subcellular Localization with Integrated Source and Multi-label Ensemble ClassifiermRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.Identifying novel protein phenotype annotations by hybridizing protein-protein interactions and protein sequence similarities.The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.MOWGLI: prediction of protein-MannOse interacting residues With ensemble classifiers usinG evoLutionary Information.Application of learning to rank to protein remote homology detection.Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines.Predicting the subcellular localization of mycobacterial proteins by incorporating the optimal tripeptides into the general form of pseudo amino acid composition.
P2860
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P2860
Hierarchical classification of protein folds using a novel ensemble classifier
description
2013 nî lūn-bûn
@nan
2013 թուականին հրատարակուած գիտական յօդուած
@hyw
2013 թվականին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Hierarchical classification of protein folds using a novel ensemble classifier
@ast
Hierarchical classification of protein folds using a novel ensemble classifier
@en
Hierarchical classification of protein folds using a novel ensemble classifier
@nl
type
label
Hierarchical classification of protein folds using a novel ensemble classifier
@ast
Hierarchical classification of protein folds using a novel ensemble classifier
@en
Hierarchical classification of protein folds using a novel ensemble classifier
@nl
prefLabel
Hierarchical classification of protein folds using a novel ensemble classifier
@ast
Hierarchical classification of protein folds using a novel ensemble classifier
@en
Hierarchical classification of protein folds using a novel ensemble classifier
@nl
P2093
P2860
P3181
P1433
P1476
Hierarchical classification of protein folds using a novel ensemble classifier
@en
P2093
Caihuan Ke
Xiangrong Liu
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0056499
P407
P577
2013-01-01T00:00:00Z