High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).
about
Genome-wide transcriptional profiling reveals microRNA-correlated genes and biological processes in human lymphoblastoid cell linesMicroRNA and gene expression patterns in the differentiation of human embryonic stem cellsGenome-wide QTL mapping for three traits related to teat number in a White Duroc x Erhualian pig resource population.Mining expressed sequence tags identifies cancer markers of clinical interestAnalysis of gene regulatory networks in the mammalian circadian rhythmGene Transfer from Bacteria and Archaea Facilitated Evolution of an Extremophilic EukaryoteEvolution and function of the extended miR-2 microRNA familyConceptGen: a gene set enrichment and gene set relation mapping toolThe DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene listsCellular and molecular mechanisms of fibrosisDAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene listsThe molecular portrait of in vitro growth by meta-analysis of gene-expression profilesThe Gene Ontology (GO) project in 2006InCHlib – interactive cluster heatmap for web applicationsBioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene listsConvergence of biomarkers, bioinformatics and nanotechnology for individualized cancer treatmentRat toxicogenomic study reveals analytical consistency across microarray platformsDynamic zebrafish interactome reveals transcriptional mechanisms of dioxin toxicityProtocadherin 12 deficiency alters morphogenesis and transcriptional profile of the placentaA comparative analysis of dynamic grids vs. virtual grids using the A3pviGrid frameworkPositive selection at the protein network periphery: Evaluation in terms of structural constraints and cellular contextFIDEA: a server for the functional interpretation of differential expression analysisREVIGO summarizes and visualizes long lists of gene ontology termsTen years of pathway analysis: current approaches and outstanding challengesBioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools.NCI-60 Cell Line Screening: A Radical Departure in its Time.A Bioinformatics-Based Alternative mRNA Splicing Code that May Explain Some Disease Mutations Is Conserved in Animals.Differential roles of cyclin D1 and D3 in pancreatic ductal adenocarcinoma.Genome-wide analysis of novel splice variants induced by topoisomerase I poisoning shows preferential occurrence in genes encoding splicing factors.Meta-Analysis of Global Transcriptomics Suggests that Conserved Genetic Pathways are Responsible for Quercetin and Tannic Acid Mediated Longevity in C. elegans.A proteomic approach reveals integrin activation state-dependent control of microtubule cortical targeting.A quantitative proteomic approach of the different stages of colorectal cancer establishes OLFM4 as a new nonmetastatic tumor markerSTEM: a tool for the analysis of short time series gene expression data.GOFFA: gene ontology for functional analysis--a FDA gene ontology tool for analysis of genomic and proteomic data.Application of visualization tools to the analysis of histopathological data enhances biological insight and interpretation.The LeFE algorithm: embracing the complexity of gene expression in the interpretation of microarray dataDetecting robust gene signature through integrated analysis of multiple types of high-throughput data in liver cancer.Sequencing and analysis of 10,967 full-length cDNA clones from Xenopus laevis and Xenopus tropicalis reveals post-tetraploidization transcriptome remodeling.Cluster analysis of protein array results via similarity of Gene Ontology annotation.PageMan: an interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments.
P2860
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P2860
High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
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
name
High-Throughput GoMiner, an 'i ...... iable Immune Deficiency (CVID)
@nl
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@ast
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@en
type
label
High-Throughput GoMiner, an 'i ...... iable Immune Deficiency (CVID)
@nl
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@ast
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@en
prefLabel
High-Throughput GoMiner, an 'i ...... iable Immune Deficiency (CVID)
@nl
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@ast
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@en
P2093
P2860
P356
P1433
P1476
High-Throughput GoMiner, an 'i ...... able Immune Deficiency (CVID).
@en
P2093
Barry R Zeeberg
Danielle M Hari
David Bryant
David Nelson
David W Kane
Donn M Stewart
Eldad Elnekave
Haiying Qin
John N Weinstein
P2860
P2888
P356
10.1186/1471-2105-6-168
P407
P577
2005-07-05T00:00:00Z
P5875
P6179
1047729779