about
The promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disordersIdentification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometricsL1 regularization facilitates detection of cell type-specific parameters in dynamical systems.Classification of amyloid-positivity in controls: comparison of visual read and quantitative approaches.Sparse cluster analysis of large-scale discrete variables with application to single nucleotide polymorphism dataIntegrating multi-platform genomic data using hierarchical Bayesian relevance vector machinesIdentification of significant features in DNA microarray data.A recursively partitioned mixture model for clustering time-course gene expression dataSparse Biclustering of Transposable Data.Integrative subtype discovery in glioblastoma using iCluster.Accounting for measurement error in biomarker data and misclassification of subtypes in the analysis of tumor dataEnsCat: clustering of categorical data via ensembling.MagicFinger: 3D Magnetic Fingerprints for Indoor Location.Drosophila melanogaster positive transcriptional elongation factors regulate metabolic and sex-biased expression in adults.MicroRNA-182 drives metastasis of primary sarcomas by targeting multiple genes.Sparse Clustering with Resampling for Subject Classification in PET Amyloid Imaging Studies.dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clusteringRestricted dendritic cell and monocyte progenitors in human cord blood and bone marrow.Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection.Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging DataFunctional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis.Optimally weighted L(2) distance for functional data.Using Hamming Distance as Information for SNP-Sets Clustering and Testing in Disease Association Studies.MicroRNA-16 suppresses metastasis in an orthotopic, but not autochthonous, mouse model of soft tissue sarcoma.Hierarchical Clustering With Prototypes via Minimax Linkage.The molecular landscape of premenopausal breast cancer.Phenotypic clusters within sepsis-associated multiple organ dysfunction syndrome.Clustering of mRNA-Seq data based on alternative splicing patterns.Nearest shrunken centroids via alternative genewise shrinkages.Metabolite profiling of the carnivorous pitcher plants Darlingtonia and Sarracenia.Translational Meta-analytical Methods to Localize the Regulatory Patterns of Neurological Disorders in the Human BrainBiclustering with heterogeneous variance.Machine learning, statistical learning and the future of biological research in psychiatry.A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expressionChallenges in identifying asthma subgroups using unsupervised statistical learning techniques.Semi-supervised clustering methods.Robust continuous clustering.AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure.Discovering sparse transcription factor codes for cell states and state transitions during developmentMeta-analytic framework for sparse K-means to identify disease subtypes in multiple transcriptomic studies
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
A framework for feature selection in clustering
@ast
A framework for feature selection in clustering
@en
A framework for feature selection in clustering
@nl
type
label
A framework for feature selection in clustering
@ast
A framework for feature selection in clustering
@en
A framework for feature selection in clustering
@nl
prefLabel
A framework for feature selection in clustering
@ast
A framework for feature selection in clustering
@en
A framework for feature selection in clustering
@nl
P2860
P1476
A framework for feature selection in clustering
@en
P2860
P304
P356
10.1198/JASA.2010.TM09415
P407
P577
2010-06-01T00:00:00Z