Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.
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EGO, a novel, noncoding RNA gene, regulates eosinophil granule protein transcript expressionDissection of the complex phenotype in cuticular mutants of Arabidopsis reveals a role of SERRATE as a mediatorMetabolomics to unveil and understand phenotypic diversity between pathogen populationsDifferential producibility analysis (DPA) of transcriptomic data with metabolic networks: deconstructing the metabolic response of M. tuberculosisEnsemble-based network aggregation improves the accuracy of gene network reconstructionMultiscale integration of -omic, imaging, and clinical data in biomedical informatics.Changes in transcriptome of native nasal epithelium expressing F508del-CFTR and intersecting data from comparable studies.Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.A weighted average difference method for detecting differentially expressed genes from microarray data.The Annotation, Mapping, Expression and Network (AMEN) suite of tools for molecular systems biologyKey issues in conducting a meta-analysis of gene expression microarray datasets.Organogenic nodule development in hop (Humulus lupulus L.): transcript and metabolic responses.Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.A gene signature for post-infectious chronic fatigue syndrome.Identification of network topological units coordinating the global expression response to glucose in Bacillus subtilis and its comparison to Escherichia coliDiscovering collectively informative descriptors from high-throughput experimentsBiomarker detection in the integration of multiple multi-class genomic studiesRankProdIt: A web-interactive Rank Products analysis toolPhysiological adaptation of the bacterium Lactococcus lactis in response to the production of human CFTR.Novel inducers of the envelope stress response BaeSR in Salmonella Typhimurium: BaeR is critically required for tungstate waste disposalA gene signature in histologically normal surgical margins is predictive of oral carcinoma recurrence.Gene expression profiling in whole blood of patients with coronary artery disease.Cross-platform Comparison of Two Pancreatic Cancer PhenotypesArrow plot: a new graphical tool for selecting up and down regulated genes and genes differentially expressed on sample subgroups.Effect of ICSI on gene expression and development of mouse preimplantation embryos.Identifying resistance mechanisms against five tyrosine kinase inhibitors targeting the ERBB/RAS pathway in 45 cancer cell lines.Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guidelineEmbryonic stem cells derived from in vivo or in vitro-generated murine blastocysts display similar transcriptome and differentiation potential.Developmental pattern of aquaporin expression in barley (Hordeum vulgare L.) leaves.jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data.A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments.Enhancers regulate progression of development in mammalian cellsMetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis.Crosstalk analysis of pathways in breast cancer using a network model based on overlapping differentially expressed genes.Screening for interaction effects in gene expression data.Sertoli-cell-specific knockout of connexin 43 leads to multiple alterations in testicular gene expression in prepubertal miceGenomic distribution and functional analyses of potential G-quadruplex-forming sequences in Saccharomyces cerevisiae.Effect of normalization on statistical and biological interpretation of gene expression profiles.omniBiomarker: A Web-Based Application for Knowledge-Driven Biomarker IdentificationChronic exposure to arsenic in the drinking water alters the expression of immune response genes in mouse lung.
P2860
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P2860
Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Rank-based methods as a non-pa ...... of biological microarray data.
@ast
Rank-based methods as a non-pa ...... of biological microarray data.
@en
type
label
Rank-based methods as a non-pa ...... of biological microarray data.
@ast
Rank-based methods as a non-pa ...... of biological microarray data.
@en
prefLabel
Rank-based methods as a non-pa ...... of biological microarray data.
@ast
Rank-based methods as a non-pa ...... of biological microarray data.
@en
P2860
P1476
Rank-based methods as a non-pa ...... of biological microarray data.
@en
P2093
Pawel Herzyk
P2860
P304
P356
10.1142/S0219720005001442
P577
2005-10-01T00:00:00Z