Support vector machines and kernels for computational biology
about
DAnCER: disease-annotated chromatin epigenetics resourcemGene.web: a web service for accurate computational gene findingMethods for biological data integration: perspectives and challengesPattern recognition in bioinformaticsAttracting dynamics of frontal cortex ensembles during memory-guided decision-makingProteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small moleculesPrediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling.A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learningExploring sequence characteristics related to high-level production of secreted proteins in Aspergillus nigerPattern recognition software and techniques for biological image analysisImplementation and comparison of kernel-based learning methods to predict metabolic networksGenerative embedding for model-based classification of fMRI data.Proteochemometric modeling in a Bayesian framework.Computational prediction of anti HIV-1 peptides and in vitro evaluation of anti HIV-1 activity of HIV-1 P24-derived peptides.A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons.Model-based feature construction for multivariate decoding.kmer-SVM: a web server for identifying predictive regulatory sequence features in genomic data setsMetabolic network prediction through pairwise rational kernels.Accurate age classification of 6 and 12 month-old infants based on resting-state functional connectivity magnetic resonance imaging data.Use of resting-state functional MRI to study brain development and injury in neonatesAutomated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans.Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data.Meta-analytic support vector machine for integrating multiple omics data.KIRMES: kernel-based identification of regulatory modules in euchromatic sequences.Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsLipocalinPred: a SVM-based method for prediction of lipocalins.FaaPred: a SVM-based prediction method for fungal adhesins and adhesin-like proteins.Development of Personalized Urination Recognition Technology Using Smart BandsFinding the "dark matter" in human and yeast protein network prediction and modellingAn ErbB3 antibody, MM-121, is active in cancers with ligand-dependent activationExpanding the landscape of chromatin modification (CM)-related functional domains and genes in human.Hierarchical kernel mixture models for the prediction of AIDS disease progression using HIV structural gp120 profiles.NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins.Model-based optimization approaches for precision medicine: A case study in presynaptic dopamine overactivity.Proteome sequence features carry signatures of the environmental niche of prokaryotes.Batch effect confounding leads to strong bias in performance estimates obtained by cross-validation.Support vector machines-based identification of alternative splicing in Arabidopsis thaliana from whole-genome tiling arraysFrom structure prediction to genomic screens for novel non-coding RNAs.Classification of microarrays; synergistic effects between normalization, gene selection and machine learning.SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST data.
P2860
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P2860
Support vector machines and kernels for computational biology
description
2008 nî lūn-bûn
@nan
2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Support vector machines and kernels for computational biology
@ast
Support vector machines and kernels for computational biology
@en
type
label
Support vector machines and kernels for computational biology
@ast
Support vector machines and kernels for computational biology
@en
prefLabel
Support vector machines and kernels for computational biology
@ast
Support vector machines and kernels for computational biology
@en
P2860
P50
P1476
Support vector machines and kernels for computational biology
@en
P2093
Cheng Soon Ong
Sören Sonnenburg
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000173
P577
2008-10-31T00:00:00Z