Cross-site comparison of gene expression data reveals high similarity. - Wikidata - wikimedia - TriplyDB

Cross-site comparison of gene expression data reveals high similarity.

Cross-site comparison of gene expression data reveals high similarity.

http://www.wikidata.org/entity/Q24811567

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Meeting report: Validation of toxicogenomics-based test systems: ECVAM-ICCVAM/NICEATM considerations for regulatory use.The molecular portrait of in vitro growth by meta-analysis of gene-expression profiles Overview of an interlaboratory collaboration on evaluating the effects of model hepatotoxicants on hepatic gene expression.Gene expression analysis of the hepatotoxicant methapyrilene in primary rat hepatocytes: an interlaboratory study.Expression profiling reveals differential gene induction underlying specific and non-specific memory for pheromones in mice.Correcting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profiles Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets - improving meta-analysis and prediction of prognosis.Batch effect removal methods for microarray gene expression data integration: a survey.Profiling spermatogenic failure in adult testes bearing Sox9-deficient Sertoli cells identifies genes involved in feminization, inflammation and stress.Generalization of DNA microarray dispersion properties: microarray equivalent of t-distribution Toxicogenomic biomarkers for liver toxicity Toxicogenomics and systems toxicology: aims and prospects.Development of pharmacogenomic markers to select preoperative chemotherapy for breast cancer.The Consortium for Metabonomic Toxicology (COMET): aims, activities and achievements.Large-scale databases in toxicogenomics.Practical application of toxicogenomics for profiling toxicant-induced biological perturbations.Validation of Transcriptomics-Based In Vitro Methods.Consensus recommendations to promote and advance predictive systems toxicology and toxicogenomics.Future of toxicogenomics and safety signatures: balancing public access to data with proprietary drug discovery.Defining best practice for microarray analyses in nutrigenomic studies.Variation in the hepatic gene expression in individual male Fischer rats.

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P2860

Cross-site comparison of gene expression data reveals high similarity.

http://www.wikidata.org/entity/Q24811567

description

2004 nî lūn-bûn

@nan

2004 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2004 թվականի մարտին հրատարակված գիտական հոդված

@hy

2004年の論文

@ja

2004年論文

@yue

2004年論文

@zh-hant

2004年論文

@zh-hk

2004年論文

@zh-mo

2004年論文

@zh-tw

2004年论文

@wuu

name

Cross-site comparison of gene expression data reveals high similarity

@nl

Cross-site comparison of gene expression data reveals high similarity.

@ast

Cross-site comparison of gene expression data reveals high similarity.

@en

type

label

Cross-site comparison of gene expression data reveals high similarity

@nl

Cross-site comparison of gene expression data reveals high similarity.

@ast

Cross-site comparison of gene expression data reveals high similarity.

@en

prefLabel

Cross-site comparison of gene expression data reveals high similarity

@nl

Cross-site comparison of gene expression data reveals high similarity.

@ast

Cross-site comparison of gene expression data reveals high similarity.

@en

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Environmental Health Perspectives

P1476

Cross-site comparison of gene expression data reveals high similarity.

@en

P2093

Hisham K Hamadeh

http://www.w3.org/2001/XMLSchema#string

Richard S Paules

http://www.w3.org/2001/XMLSchema#string

Russ Wolfinger

http://www.w3.org/2001/XMLSchema#string

Shibing Deng

http://www.w3.org/2001/XMLSchema#string

Tzu-Ming Chu

http://www.w3.org/2001/XMLSchema#string

P2860

Evaluation of gene expression measurements from commercial microarray platforms

Expression monitoring by hybridization to high-density oligonucleotide arrays

A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection

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

Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data.

Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer.

A systematic statistical linear modeling approach to oligonucleotide array experiments.

Combining multiple microarray studies and modeling interstudy variation.

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449-455

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scholarly article

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10.1289/EHP.6787

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4

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112

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2004-03-01T00:00:00Z

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15033594

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1241898

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