The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data.
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Kidney transplant rejection and tissue injury by gene profiling of biopsies and peripheral blood lymphocytesDietary effects of arachidonate-rich fungal oil and fish oil on murine hepatic and hippocampal gene expressionAmplified RNA degradation in T7-amplification methods results in biased microarray hybridizationsAccuracy of cDNA microarray methods to detect small gene expression changes induced by neuregulin on breast epithelial cellsNoise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovarian and breast cancerResolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels and spotted DNA microarraysA power law global error model for the identification of differentially expressed genes in microarray dataGene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR -- how well do they correlate?Cytoskeletal rearrangements in synovial fibroblasts as a novel pathophysiological determinant of modeled rheumatoid arthritis.Transcriptome profiling and pathway analysis of genes expressed differentially in participants with or without a positive response to topiramate treatment for methamphetamine addiction.Statistical analysis of differential gene expression relative to a fold change threshold on NanoString data of mouse odorant receptor genes.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.Estimating accuracy of RNA-Seq and microarrays with proteomicsData perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.Gene expression profiling in the rhesus macaque: methodology, annotation and data interpretation.Transcriptional profiling of trait deterioration in the insect pathogenic nematode Heterorhabditis bacteriophora.Microarray analysis of relative gene expression stability for selection of internal reference genes in the rhesus macaque brain.The histone chaperone anti-silencing function 1 is a global regulator of transcription independent of passage through S phase.Link-based quantitative methods to identify differentially coexpressed genes and gene pairs.Matrix metalloproteinase-12 deficiency ameliorates the clinical course and demyelination in Theiler's murine encephalomyelitis.Altered expression of immune-related genes in children with Down syndrome.Effects of DHA-rich n-3 fatty acid supplementation on gene expression in blood mononuclear leukocytes: the OmegAD study.Power analysis and sample size estimation for RNA-Seq differential expression.How dietary arachidonic- and docosahexaenoic- acid rich oils differentially affect the murine hepatic transcriptome.Sexually dimorphic gene expression that overlaps maturation of type II pneumonocytes in fetal mouse lungs.Ranked prediction of p53 targets using hidden variable dynamic modeling.Identifying genes relevant to specific biological conditions in time course microarray experiments.Microarray analysis of cell cycle gene expression in adult human corneal endothelial cellsMolecular diagnosis of leishmaniasis.Differential co-expression and regulation analyses reveal different mechanisms underlying major depressive disorder and subsyndromal symptomatic depression.Identification and Validation of a Potential Marker of Tissue Quality Using Gene Expression Analysis of Human Colorectal Tissue.Seq-ing improved gene expression estimates from microarrays using machine learning.Identification of reproducible drug-resistance-related dysregulated genes in small-scale cancer cell line experiments.Integrative topological analysis of mass spectrometry data reveals molecular features with clinical relevance in esophageal squamous cell carcinoma.A cultured approach to canine urothelial carcinoma: molecular characterization of five cell linesTranscriptional profiling of tissue plasticity: role of shifts in gene expression and technical limitations.Transcriptome profiling of Arabian horse blood during training regimens.Aging-induced alterations in gene transcripts and functional activity of mitochondrial oxidative phosphorylation complexes in the heartBiomaterials selectively modulate interactions between human blood-derived polymorphonuclear leukocytes and monocytes
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P2860
The limit fold change model: a practical approach for selecting differentially expressed genes from microarray data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
The limit fold change model: a ...... sed genes from microarray data
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The limit fold change model: a ...... ed genes from microarray data.
@ast
The limit fold change model: a ...... ed genes from microarray data.
@en
type
label
The limit fold change model: a ...... sed genes from microarray data
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The limit fold change model: a ...... ed genes from microarray data.
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The limit fold change model: a ...... ed genes from microarray data.
@en
prefLabel
The limit fold change model: a ...... sed genes from microarray data
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The limit fold change model: a ...... ed genes from microarray data.
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The limit fold change model: a ...... ed genes from microarray data.
@en
P2093
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The limit fold change model: a ...... ed genes from microarray data.
@en
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Alvin Berger
Matthew-Alan Roberts
Robert Mansourian
P2860
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P356
10.1186/1471-2105-3-17
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2002-06-21T00:00:00Z
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P6179
1019753394