about
A higher-order generalized singular value decomposition for comparison of global mRNA expression from multiple organismsProtein Bioinformatics Infrastructure for the Integration and Analysis of Multiple High-Throughput "omics" Data.Analysis of microarray data from the macaque corpus luteum; the search for common themes in primate luteal regression.In vitro homology search array comprehensively reveals highly conserved genes and their functional characteristics in non-sequenced species.Clusters of temporal discordances reveal distinct embryonic patterning mechanisms in Drosophila and anophelesMining high-throughput experimental data to link gene and functionCross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivityKernel density weighted loess normalization improves the performance of detection within asymmetrical data.The effects of globin on microarray-based gene expression analysis of mouse bloodGene expression analysis reveals the cell cycle and kinetochore genes participating in ischemia reperfusion injury and early development in kidney.Interspecies translation of disease networks increases robustness and predictive accuracy.Evolutionary divergence in the fungal response to fluconazole revealed by soft clustering.Predicting gene ontology from a global meta-analysis of 1-color microarray experiments.Cross-species queries of large gene expression databasesTranslating potential biomarker candidates for schizophrenia and depression to animal models of psychiatric disorders.Multi-species integrative biclustering.Detection of gene expression changes at chromosomal rearrangement breakpoints in evolutionCross-species transcriptional network analysis reveals conservation and variation in response to metal stress in cyanobacteria.Modeling considerations for using expression data from multiple species.The similarity of gene expression between human and mouse tissues.Identification of conserved drought-adaptive genes using a cross-species meta-analysis approachA comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levelsThe renal transcriptome of db/db mice identifies putative urinary biomarker proteins in patients with type 2 diabetes: a pilot study.Diversity in global gene expression and morphology across a watercress (Nasturtium officinale R. Br.) germplasm collection: first steps to breeding.Comparison of sepsis-induced transcriptomic changes in a murine model to clinical blood samples identifies common response patterns.Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.What to compare and how: Comparative transcriptomics for Evo-Devo.Transcriptomic meta-analysis of multiple sclerosis and its experimental models.A role for estrogen in somatic cell fate of the mammalian gonad.Integrated inference and analysis of regulatory networks from multi-level measurements.Comparative co-expression analysis in plant biology.XGSA: A statistical method for cross-species gene set analysis.Deep homology in the age of next-generation sequencing.Comparative microbial modules resource: generation and visualization of multi-species biclusters.Functional Genomic Analyses Identify Pathways Dysregulated in Animal Model of Autism.Identification of novel putative adipomyokines by a cross-species annotation of secretomes and expression profiles.ComPlEx: conservation and divergence of co-expression networks in A. thaliana, Populus and O. sativaMatching experiments across species using expression values and textual information.Large scale comparison of global gene expression patterns in human and mouse.COMODO: an adaptive coclustering strategy to identify conserved coexpression modules between organisms.
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Cross species analysis of microarray expression data
@ast
Cross species analysis of microarray expression data
@en
type
label
Cross species analysis of microarray expression data
@ast
Cross species analysis of microarray expression data
@en
prefLabel
Cross species analysis of microarray expression data
@ast
Cross species analysis of microarray expression data
@en
P2860
P356
P1433
P1476
Cross species analysis of microarray expression data
@en
P2093
Peter Huggins
P2860
P304
P356
10.1093/BIOINFORMATICS/BTP247
P407
P577
2009-04-08T00:00:00Z