Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements. - Wikidata - awgldk - TriplyDB

Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements.

Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements.

http://www.wikidata.org/entity/Q34334909

about

nuID: a universal naming scheme of oligonucleotides for illumina, affymetrix, and other microarrays Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations Reliability and reproducibility issues in DNA microarray measurements HPtaa database-potential target genes for clinical diagnosis and immunotherapy of human carcinoma.The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements Review of the literature examining the correlation among DNA microarray technologies The incredible shrinking world of DNA microarrays Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements.Recent translational research: microarray expression profiling of breast cancer--beyond classification and prognostic markers?Three microarray platforms: an analysis of their concordance in profiling gene expression.PAGE: parametric analysis of gene set enrichment Comparing independent microarray studies: the case of human embryonic stem cells Integrating probe-level expression changes across generations of Affymetrix arrays Transformation of expression intensities across generations of Affymetrix microarrays using sequence matching and regression modeling.Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models.Use of a mixed tissue RNA design for performance assessments on multiple microarray formats.The suppression of SH3BGRL is important for v-Rel-mediated transformation Data integration in genetics and genomics: methods and challenges An online database for brain disease research.Multi-organ expression profiling uncovers a gene module in coronary artery disease involving transendothelial migration of leukocytes and LIM domain binding 2: the Stockholm Atherosclerosis Gene Expression (STAGE) study.Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.AnyExpress: integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm.A survey of methods for classification of gene expression data using evolutionary algorithms.Sequence biases in large scale gene expression profiling data.Three methods for optimization of cross-laboratory and cross-platform microarray expression data.Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets.Specificity of DNA microarray hybridization: characterization, effectors and approaches for data correction.On the necessity of different statistical treatment for Illumina BeadChip and Affymetrix GeneChip data and its significance for biological interpretation.Comparison of the latest commercial short and long oligonucleotide microarray technologies.Genome wide profiling of human embryonic stem cells (hESCs), their derivatives and embryonal carcinoma cells to develop base profiles of U.S. Federal government approved hESC lines Derivation of species-specific hybridization-like knowledge out of cross-species hybridization results.An analysis of intra array repeats: the good, the bad and the non informative.Identical probes on different high-density oligonucleotide microarrays can produce different measurements of gene expression.Detection of transcriptional difference of porcine imprinted genes using different microarray platforms Transcript-based redefinition of grouped oligonucleotide probe sets using AceView: high-resolution annotation for microarrays Transcript-level annotation of Affymetrix probesets improves the interpretation of gene expression data.A detailed transcript-level probe annotation reveals alternative splicing based microarray platform differences Novel definition files for human GeneChips based on GeneAnnot.Correlation of mRNA and protein levels: cell type-specific gene expression of cluster designation antigens in the prostate

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Sequence-matched probes produce increased cross-platform consistency and more reproducible biological results in microarray-based gene expression measurements.

http://www.wikidata.org/entity/Q34334909

description

2004 nî lūn-bûn

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2004 թվականի մայիսին հրատարակված գիտական հոդված

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2004年の論文

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2004年論文

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2004年論文

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Sequence-matched probes produc ...... gene expression measurements.

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Sequence-matched probes produc ...... gene expression measurements.

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Sequence-matched probes produc ...... gene expression measurements.

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Sequence-matched probes produc ...... gene expression measurements.

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Sequence-matched probes produc ...... gene expression measurements.

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Sequence-matched probes produc ...... gene expression measurements.

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Nucleic Acids Research

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Sequence-matched probes produc ...... gene expression measurements.

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Brigham H Mecham

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Daniel Z Wetmore

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David Byrne

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Gregory T Klus

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Jeffrey Strovel

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Meena Augustus

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Peter Bozso

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Thomas J Mariani

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P2860

Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip arrays

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

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

Gene expression profiling predicts clinical outcome of breast cancer

Summaries of Affymetrix GeneChip probe level data

Quantitative monitoring of gene expression patterns with a complementary DNA microarray

Repeated observation of breast tumor subtypes in independent gene expression data sets

affy--analysis of Affymetrix GeneChip data at the probe level

Analysis of matched mRNA measurements from two different microarray technologies.

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e74

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10.1093/NAR/GNH071

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9

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32

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Zoltan Szallasi

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2004-05-25T00:00:00Z

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8544404

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15161944

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reproducibility

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419626

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