Principal component analysis based methods in bioinformatics studies.
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Genome Data Exploration Using Correspondence AnalysisPattern recognition in bioinformaticsIn vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of HealingIs the C-terminal insertional signal in Gram-negative bacterial outer membrane proteins species-specific or not?Comprehensive evaluation of published gene expression prognostic signatures for biomarker-based lung cancer clinical studies.Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.Molpher: a software framework for systematic chemical space explorationApplying stability selection to consistently estimate sparse principal components in high-dimensional molecular data.BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptomeDifferential gene expression profile of first-generation and second-generation rapamycin-resistant allogeneic T cellsComprehensive evaluation of matrix factorization methods for the analysis of DNA microarray gene expression data.Constructing endophenotypes of complex diseases using non-negative matrix factorization and adjusted rand index.SNP set association analysis for genome-wide association studies.Quantitative dynamic modelling of the gene regulatory network controlling adipogenesis.Distance-based classifiers as potential diagnostic and prediction tools for human diseases.Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic DataPrincipal component gene set enrichment (PCGSE).Screening and identification of hepatotoxic component in Evodia rutaecarpa based on spectrum-effect relationship and UPLC-Q-TOFMS.Subgroup detection in genotype data using invariant coordinate selectionSparse Redundancy Analysis of High Dimensional Genetic and Genomic Data.A genome-wide screening and SNPs-to-genes approach to identify novel genetic risk factors associated with frontotemporal dementiaInsights into the motif preference of APOBEC3 enzymes.Nomogram predicted risk of peripherally inserted central catheter related thrombosis.A robust sparse-modeling framework for estimating schizophrenia biomarkers from fMRI.A lazy learning-based QSAR classification study for screening potential histone deacetylase 8 (HDAC8) inhibitors.Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak Shifts.A Label-Free Fluorescent Array Sensor Utilizing Liposome Encapsulating Calcein for Discriminating Target Proteins by Principal Component Analysis.Administration of Lactobacillus salivarius LI01 or Pediococcus pentosaceus LI05 improves acute liver injury induced by D-galactosamine in rats.Classification of Plasmodium falciparum glucose-6-phosphate dehydrogenase inhibitors by support vector machine.In silico prediction of ROCK II inhibitors by different classification approaches.Consensus models for CDK5 inhibitors in silico and their application to inhibitor discovery.Integrative sparse principal component analysis of gene expression data.Aberrant expression of miR-451a contributes to 1,2-dichloroethane-induced hepatic glycerol gluconeogenesis disorder by inhibiting glycerol kinase expression in NIH Swiss mice.Principal Metabolic Flux Mode Analysis.A Vitis vinifera basic helix-loop-helix transcription factor enhances plant cell size, vegetative biomass and reproductive yield.Synergistic Killing of Polymyxin B in Combination With the Antineoplastic Drug Mitotane Against Polymyxin-Susceptible and -Resistant Acinetobacter baumannii: A Metabolomic Study.An Integrated Approach for Identifying Molecular Subtypes in Human Colon Cancer Using Gene Expression DataGenetic variation in gonadal impairment in female survivors of childhood cancer: a PanCareLIFE study protocol
P2860
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P2860
Principal component analysis based methods in bioinformatics studies.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Principal component analysis based methods in bioinformatics studies.
@ast
Principal component analysis based methods in bioinformatics studies.
@en
type
label
Principal component analysis based methods in bioinformatics studies.
@ast
Principal component analysis based methods in bioinformatics studies.
@en
prefLabel
Principal component analysis based methods in bioinformatics studies.
@ast
Principal component analysis based methods in bioinformatics studies.
@en
P2860
P356
P1476
Principal component analysis based methods in bioinformatics studies.
@en
P2093
P2860
P304
P356
10.1093/BIB/BBQ090
P577
2011-01-17T00:00:00Z