Principal component analysis for clustering gene expression data.
about
Rapid gene expression changes in peripheral blood lymphocytes upon practice of a comprehensive yoga programMeasuring similarities between gene expression profiles through new data transformationsSystem-based identification of toxicity pathways associated with multi-walled carbon nanotube-induced pathological responsesNew perspectives for in vitro risk assessment of multiwalled carbon nanotubes: application of coculture and bioinformaticsProteomics analysis identifies molecular targets related to diabetes mellitus-associated bladder dysfunctionMicroarrays in ecological research: a case study of a cDNA microarray for plant-herbivore interactionsIdentification of hip fracture patients from radiographs using Fourier analysis of the trabecular structure: a cross-sectional studyFinding groups in gene expression dataGene expression data classification with Kernel principal component analysis.WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput dataThe promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disordersTemporal network based analysis of cell specific vein graft transcriptome defines key pathways and hub genes in implantation injuryMining gene expression data by interpreting principal components.Mechanical compression of cartilage explants induces multiple time-dependent gene expression patterns and involves intracellular calcium and cyclic AMPAsymmetric clustering index in a case study of 5-HT1A receptor ligandsHierarchical Dirichlet process model for gene expression clusteringTranscriptome analysis of spermatogenically regressed, recrudescent and active phase testis of seasonally breeding wall lizards Hemidactylus flaviviridisDivergence of dim-light vision among bats (order: Chiroptera) as estimated by molecular and electrophysiological methods.Gene expression profiling to characterize sediment toxicity--a pilot study using Caenorhabditis elegans whole genome microarrays.Som-based class discovery exploring the ICA-reduced features of microarray expression profiles.Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression dataPrincipal component and clustering analysis on molecular dynamics data of the ribosomal L11·23S subdomainClustering gene expression data using a diffraction-inspired framework.Reconstruction of the mouse otocyst and early neuroblast lineage at single-cell resolution.Computational solutions for omics data.Insights from the clustering of microarray data associated with the heart disease.Discriminant analysis to evaluate clustering of gene expression data.Clustering gene expression data using adaptive double self-organizing map.EXCAVATOR: a computer program for efficiently mining gene expression data.3D computational reconstruction of tissues with hollow spherical morphologies using single-cell gene expression data.Computational strategies for analyzing data in gene expression microarray experiments.Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective.Discovering What Dimensionality Reduction Really Tells Us About RNA-Seq Data.Clustering gene expression data with kernel principal components.Differential and trajectory methods for time course gene expression data.New data analysis and mining approaches identify unique proteome and transcriptome markers of susceptibility to autoimmune diabetes.Quantifying stability in gene list ranking across microarray derived clinical biomarkers.CARMAweb: comprehensive R- and bioconductor-based web service for microarray data analysisIntegrative clustering of high-dimensional data with joint and individual clusters.Avoiding common pitfalls when clustering biological data.
P2860
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P2860
Principal component analysis for clustering gene expression data.
description
2001 nî lūn-bûn
@nan
2001 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Principal component analysis for clustering gene expression data.
@ast
Principal component analysis for clustering gene expression data.
@en
type
label
Principal component analysis for clustering gene expression data.
@ast
Principal component analysis for clustering gene expression data.
@en
prefLabel
Principal component analysis for clustering gene expression data.
@ast
Principal component analysis for clustering gene expression data.
@en
P356
P1433
P1476
Principal component analysis for clustering gene expression data
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/17.9.763
P407
P577
2001-09-01T00:00:00Z