Filtering for increased power for microarray data analysis. - Wikidata - awgldk - TriplyDB

Filtering for increased power for microarray data analysis.

Filtering for increased power for microarray data analysis.

http://www.wikidata.org/entity/Q33398679

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Translational biomarker discovery in clinical metabolomics: an introductory tutorial MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis Class-imbalanced classifiers for high-dimensional data Lack of nAChR activity depresses cochlear maturation and up-regulates GABA system components: temporal profiling of gene expression in alpha9 null mice.Temporal microRNA expression during in vitro myogenic progenitor cell proliferation and differentiation: regulation of proliferation by miR-682 The Longissimus and Semimembranosus muscles display marked differences in their gene expression profiles in pig Transcriptional profiling of human brain endothelial cells reveals key properties crucial for predictive in vitro blood-brain barrier models Improved NYVAC-based vaccine vectors Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition.Comparison of gene expression microarray data with count-based RNA measurements informs microarray interpretation.A Linear Mixed Model Spline Framework for Analysing Time Course 'Omics' Data Prioritizing hypothesis tests for high throughput data.Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis.Multivariate data validation for investigating primary HCMV infection in pregnancy.Illumina WG-6 BeadChip strips should be normalized separately Detection call algorithms for high-throughput gene expression microarray data.Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements.A comparison of probe-level and probeset models for small-sample gene expression data poolMC: smart pooling of mRNA samples in microarray experiments.Filtering, FDR and power.Parallel multiplicity and error discovery rate (EDR) in microarray experiments.Statistical techniques to construct assays for identifying likely responders to a treatment under evaluation from cell line genomic data.Ets-1 regulates energy metabolism in cancer cells.Density based pruning for identification of differentially expressed genes from microarray data.Synovial phenotypes in rheumatoid arthritis correlate with response to biologic therapeutics.Estimating the proportion of microarray probes expressed in an RNA sample.Longissimus dorsi transcriptome analysis of purebred and crossbred Iberian pigs differing in muscle characteristics.Relationship of mammographic density and gene expression: analysis of normal breast tissue surrounding breast cancer.Metabolomic data processing, analysis, and interpretation using MetaboAnalyst.Independent filtering increases detection power for high-throughput experiments Progression of ductal carcinoma in situ to invasive breast cancer is associated with gene expression programs of EMT and myoepithelia.The retinoblastoma tumor suppressor pathway modulates the invasiveness of ErbB2-positive breast cancer.Comparison of muscle transcriptome between pigs with divergent meat quality phenotypes identifies genes related to muscle metabolism and structure Comparison of low and high dose ionising radiation using topological analysis of gene coexpression networks.Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips.Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis.Large-scale modeling of condition-specific gene regulatory networks by information integration and inference.Principal component analysis-based filtering improves detection for Affymetrix gene expression arrays.Profiles of lacunar and nonlacunar stroke.Embryonic gene expression among pollutant resistant and sensitive Fundulus heteroclitus populations

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P2860

Filtering for increased power for microarray data analysis.

http://www.wikidata.org/entity/Q33398679

description

2009 nî lūn-bûn

@nan

2009 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունվարին հրատարակված գիտական հոդված

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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name

Filtering for increased power for microarray data analysis.

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type

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Filtering for increased power for microarray data analysis.

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prefLabel

Filtering for increased power for microarray data analysis.

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Filtering for increased power for microarray data analysis.

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1471-2105-10-11

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BMC Bioinformatics

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Filtering for increased power for microarray data analysis.

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Amber J Hackstadt

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Ann M Hess

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P2860

Statistical significance for genomewide studies

A comparative review of estimates of the proportion unchanged genes and the false discovery rate.

Effects of filtering by Present call on analysis of microarray experiments

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Rat toxicogenomic study reveals analytical consistency across microarray platforms

Transcriptomic analysis of the cardiac left ventricle in a rodent model of diabetic cardiomyopathy: molecular snapshot of a severe myocardial disease.

Impaired lung homeostasis in neonatal mice exposed to cigarette smoke.

A two-step multiple comparison procedure for a large number of tests and multiple treatments.

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1471-2105-10-11

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scholarly article

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10.1186/1471-2105-10-11

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