about
METAGENassist: a comprehensive web server for comparative metagenomicsChemical structure identification in metabolomics: computational modeling of experimental featuresComputational prediction of type III and IV secreted effectors in gram-negative bacteriaPredicting protein sumoylation sites from sequence featuresUrinary volatile compounds as biomarkers for lung cancer: a proof of principle study using odor signatures in mouse models of lung cancerReconstruction and validation of RefRec: a global model for the yeast molecular interaction network.Identifying Schistosoma japonicum excretory/secretory proteins and their interactions with host immune systemUnderstanding and classifying metabolite space and metabolite-likenessUsing support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairmentA consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site predictionNext generation tools for the annotation of human SNPsRibosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomesDysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods.Exploiting temporal and nonstationary features in breathing sound analysis for multiple obstructive sleep apnea severity classification.Computational prediction of anti HIV-1 peptides and in vitro evaluation of anti HIV-1 activity of HIV-1 P24-derived peptides.Ranking the quality of protein structure models using sidechain based network propertiesCombining Partial Directed Coherence and Graph Theory to Analyse Effective Brain Networks of Different Mental TasksRational design of temperature-sensitive alleles using computational structure predictionNetwork properties of decoys and CASP predicted models: a comparison with native protein structures.Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transitionIdentification of pediatric septic shock subclasses based on genome-wide expression profiling.Early recognition and disease prediction in the at-risk mental states for psychosis using neurocognitive pattern classification.Paradigm shift in toxicity testing and modeling.Visual pattern discrimination by population retinal ganglion cells' activities during natural movie stimulationSurvival and death signals can predict tumor response to therapy after oncogene inactivationNeuroimaging of dementia in 2013: what radiologists need to know.Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.Neuroimaging-based biomarkers in psychiatry: clinical opportunities of a paradigm shift.Classifying leukemia types with chromatin conformation data.Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC.Tissue-aware data integration approach for the inference of pathway interactions in metazoan organismsInteractive Big Data Resource to Elucidate Human Immune Pathways and Diseases.Predicting co-complexed protein pairs from heterogeneous data.Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classificationAccurate splice site prediction using support vector machinesSupport vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies.KIRMES: kernel-based identification of regulatory modules in euchromatic sequences.Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systemsScreening non-coding RNAs in transcriptomes from neglected species using PORTRAIT: case study of the pathogenic fungus Paracoccidioides brasiliensis.MetaTM - a consensus method for transmembrane protein topology prediction.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
What is a support vector machine?
@ast
What is a support vector machine?
@en
type
label
What is a support vector machine?
@ast
What is a support vector machine?
@en
prefLabel
What is a support vector machine?
@ast
What is a support vector machine?
@en
P356
P1433
P1476
What is a support vector machine?
@en
P2093
William S Noble
P2888
P304
P356
10.1038/NBT1206-1565
P577
2006-12-01T00:00:00Z