Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets - Wikidata - awgldk - TriplyDB

Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets

Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets

http://www.wikidata.org/entity/Q34150662

about

In vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of Healing A method for processing multivariate data in medical studies A hybrid feature subset selection algorithm for analysis of high correlation proteomic data Insights from the clustering of microarray data associated with the heart disease.Optical hyperspectral imaging in microscopy and spectroscopy - a review of data acquisition.Novel multivariate methods for integration of genomics and proteomics data: applications in a kidney transplant rejection study.Linking metabolomics data to underlying metabolic regulation.From big data analysis to personalized medicine for all: challenges and opportunities Practical aspects of gene regulatory inference via conditional inference forests from expression data.Tracking Equilibrium and Nonequilibrium Shifts in Data with TREND.A multivariate approach to the integration of multi-omics datasets Quantitative profiling of polar metabolites in herbal medicine injections for multivariate statistical evaluation based on independence principal component analysis.Spectral gene set enrichment (SGSE).MetICA: independent component analysis for high-resolution mass-spectrometry based non-targeted metabolomics.Integrated Role of Bifidobacterium animalis subsp. lactis Supplementation in Gut Microbiota, Immunity, and Metabolism of Infant Rhesus Monkeys Principal component analysis: a method for determining the essential dynamics of proteins.Function-valued traits in evolution.mixOmics: An R package for 'omics feature selection and multiple data integration.Modelling neuroanatomical variation during childhood and adolescence with neighbourhood-preserving embedding.Dietary proanthocyanidins modulate melatonin levels in plasma and the expression pattern of clock genes in the hypothalamus of rats.Principal Metabolic Flux Mode Analysis.A Novel Double Cluster and Principal Component Analysis-Based Optimization Method for the Orbit Design of Earth Observation Satellites

P2860

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P2860

Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets

http://www.wikidata.org/entity/Q34150662

description

2012 nî lūn-bûn

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2012 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի փետրվարին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

Independent Principal Componen ...... of large biological data sets

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Independent Principal Componen ...... of large biological data sets

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Independent Principal Componen ...... of large biological data sets

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Independent Principal Componen ...... of large biological data sets

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Independent Principal Componen ...... of large biological data sets

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1471-2105-13-24

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BMC Bioinformatics

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Independent Principal Componen ...... of large biological data sets

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P2093

Fangzhou Yao

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Jeff Coquery

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Kim-Anh Lê Cao

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P2860

Gene ontology: tool for the unification of biology

Activation of the ATPase activity of hsp90 by the stress-regulated cochaperone aha1

A hitchhiker's guide to the human Hsp70 family

Application of independent component analysis to microarrays

Three-dimensional structure of the ATPase fragment of a 70K heat-shock cognate protein

A review of independent component analysis application to microarray gene expression data

Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes.

Error distribution for gene expression data.

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.

Independent component analysis reveals new and biologically significant structures in micro array data.

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1471-2105-13-24

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24

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10.1186/1471-2105-13-24

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13

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Kim-Anh Lê Cao

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221805951

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principal component analysis

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3298499

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