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On the selection of appropriate distances for gene expression data clusteringmultiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome ProfilesA review of multivariate analyses in imaging geneticsStrategic applications of gene expression: from drug discovery/development to bedsideSystems analysis of high-throughput dataBinary gene expression patterning of the molt cycle: the case of chitin metabolismTranscriptional response of the mussel Mytilus galloprovincialis (Lam.) following exposure to heat stress and copperClustering cancer gene expression data: a comparative studyClustering Algorithms: Their Application to Gene Expression DataSystems biology of neurodegenerative diseasesAssessing Concordance of Drug-Induced Transcriptional Response in Rodent Liver and Cultured HepatocytesCardiovascular genomics: a biomarker identification pipelineClustering of disulfide-rich peptides provides scaffolds for hit discovery by phage display: application to interleukin-23Feliform carnivores have a distinguished constitutive innate immune responseMass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition researchIdentification and clustering of event patterns from in vivo multiphoton optical recordings of neuronal ensembles.InnateDB: facilitating systems-level analyses of the mammalian innate immune response.Reliable coding emerges from coactivation of climbing fibers in microbands of cerebellar Purkinje neurons.Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.Speeding up the Consensus Clustering methodology for microarray data analysisStatistical properties of multivariate distance matrix regression for high-dimensional data analysis.MS-kNN: protein function prediction by integrating multiple data sourcesBayesian hierarchical clustering for studying cancer gene expression data with unknown statisticsInteractive knowledge discovery and data mining on genomic expression data with numeric formal concept analysis.A multi-view genomic data simulatorCautions about the reliability of pairwise gene correlations based on expression data.Analysis of time-series gene expression data: methods, challenges, and opportunities.Integration of known transcription factor binding site information and gene expression data to advance from co-expression to co-regulation.ChIP-seq Data Processing for PcG Proteins and Associated Histone Modifications.Microarray data mining using landmark gene-guided clustering.Utility and Limitations of Using Gene Expression Data to Identify Functional AssociationsMissing value imputation improves clustering and interpretation of gene expression microarray data.Clustering cancer gene expression data by projective clustering ensemble.Identification of the proliferation/differentiation switch in the cellular network of multicellular organisms.Including probe-level uncertainty in model-based gene expression clustering.Gene expression trees in lymphoid developmentPredicting protein function with hierarchical phylogenetic profiles: the Gene3D Phylo-Tuner method applied to eukaryotic genomesExploration of non-hierarchical classification methods combined with linkage analysis to identify loci influencing clusters of co-regulated transcriptsGlobal considerations in hierarchical clustering reveal meaningful patterns in data.TranscriptomeBrowser: a powerful and flexible toolbox to explore productively the transcriptional landscape of the Gene Expression Omnibus database
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh
2005年學術文章
@zh-hant
name
How does gene expression clustering work?
@ast
How does gene expression clustering work?
@en
type
label
How does gene expression clustering work?
@ast
How does gene expression clustering work?
@en
prefLabel
How does gene expression clustering work?
@ast
How does gene expression clustering work?
@en
P2860
P356
P1433
P1476
How does gene expression clustering work?
@en
P2860
P2888
P304
P356
10.1038/NBT1205-1499
P577
2005-12-01T00:00:00Z