POWER_SAGE: comparing statistical tests for SAGE experiments.
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Measuring similarities between gene expression profiles through new data transformationsBayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE).Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databasesClustering analysis of SAGE data using a Poisson approachTranscriptomic changes in human breast cancer progression as determined by serial analysis of gene expressionOverdispersed logistic regression for SAGE: modelling multiple groups and covariatesWEBSAGE: a web tool for visual analysis of differentially expressed human SAGE tagsIdentifying differential expression in multiple SAGE libraries: an overdispersed log-linear model approachGO-Diff: mining functional differentiation between EST-based transcriptomes.Tag-based approaches for transcriptome research and genome annotationDeep sequencing on a genome-wide scale reveals diverse stage-specific microRNAs in cambium during dormancy-release induced by chilling in poplarIdentification of drought-responsive and novel Populus trichocarpa microRNAs by high-throughput sequencing and their targets using degradome analysisIdentification and Characterization of Salvia miltiorrhizain miRNAs in Response to Replanting DiseaseA comparative molecular analysis of developing mouse forelimbs and hindlimbs using serial analysis of gene expression (SAGE).Serial analysis of gene expression in turkey sperm storage tubules in the presence and absence of resident sperm.Assessing the functional coherence of gene sets with metrics based on the Gene Ontology graphIdentification and prevention of a GC content bias in SAGE libraries.Ontological analysis of gene expression data: current tools, limitations, and open problems.Domain-enhanced analysis of microarray data using GO annotations.Statistical evaluation of SAGE libraries: consequences for experimental design.miRAS: a data processing system for miRNA expression profiling studyModeling and analysis of multi-library, multi-group SAGE data with application to a study of mouse cerebellum.Serial analysis of gene expression in mouse kidney following angiotensin II administration.A SAGE-based comparison between glomerular and aortic endothelial cells.An interactive tool for visualization of relationships between gene expression profiles.Genome comparison using Gene Ontology (GO) with statistical testing.MPSS profiling of embryonic gonad and primordial germ cells in chicken.Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates.A SAGE study of apolipoprotein E3/3, E3/4 and E4/4 allele-specific gene expression in hippocampus in Alzheimer diseaseTranscriptional profiling of inductive mesenchyme to identify molecules involved in prostate development and diseaseClustering-based approaches to SAGE data mining.GO Explorer: A gene-ontology tool to aid in the interpretation of shotgun proteomics data.A human glomerular SAGE transcriptome database.Massively parallel signature sequencing and bioinformatics analysis identifies up-regulation of TGFBI and SOX4 in human glioblastoma.Statistical design and analysis of RNA sequencing data.Transcriptome-Wide Analysis of Botrytis elliptica Responsive microRNAs and Their Targets in Lilium Regale Wilson by High-Throughput Sequencing and Degradome Analysis.Functional analysis: evaluation of response intensities--tailoring ANOVA for lists of expression subsetsAnalysis of chemotherapy response programs in ovarian cancers by the next-generation sequencing technologies.High-throughput 454 resequencing for allele discovery and recombination mapping in Plasmodium falciparum.Genome-based analysis of the transcriptome from mature chickpea root nodules.
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POWER_SAGE: comparing statistical tests for SAGE experiments.
description
2000 nî lūn-bûn
@nan
2000年の論文
@ja
2000年学术文章
@wuu
2000年学术文章
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2000年学术文章
@zh-cn
2000年学术文章
@zh-hans
2000年学术文章
@zh-my
2000年学术文章
@zh-sg
2000年學術文章
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2000年學術文章
@zh-hant
name
POWER_SAGE: comparing statistical tests for SAGE experiments.
@en
POWER_SAGE: comparing statistical tests for SAGE experiments.
@nl
type
label
POWER_SAGE: comparing statistical tests for SAGE experiments.
@en
POWER_SAGE: comparing statistical tests for SAGE experiments.
@nl
prefLabel
POWER_SAGE: comparing statistical tests for SAGE experiments.
@en
POWER_SAGE: comparing statistical tests for SAGE experiments.
@nl
P2093
P356
P1433
P1476
POWER_SAGE: comparing statistical tests for SAGE experiments.
@en
P2093
P304
P356
10.1093/BIOINFORMATICS/16.11.953
P407
P577
2000-11-01T00:00:00Z