Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes. - Wikidata - awgldk - TriplyDB

Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.

Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.

http://www.wikidata.org/entity/Q34131312

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Performance reproducibility index for classification A network-based method to evaluate quality of reproducibility of differential expression in cancer genomics studies Extracting consistent knowledge from highly inconsistent cancer gene data sources.Stable feature selection and classification algorithms for multiclass microarray data.Identification of human HK genes and gene expression regulation study in cancer from transcriptomics data analysis.A comprehensive comparison of different clustering methods for reliability analysis of microarray data Empirical evaluation of consistency and accuracy of methods to detect differentially expressed genes based on microarray data.Quantifying stability in gene list ranking across microarray derived clinical biomarkers.Functional comparison between genes dysregulated in ulcerative colitis and colorectal carcinoma.A multi-strategy approach to informative gene identification from gene expression data.Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis.Multi-factorial analysis of class prediction error: estimating optimal number of biomarkers for various classification rules.Integrated analysis identifies interaction patterns between small molecules and pathways Reproducible cancer biomarker discovery in SELDI-TOF MS using different pre-processing algorithms.Extensive up-regulation of gene expression in cancer: the normalised use of microarray data.Reproducibility and concordance of differential DNA methylation and gene expression in cancer.Finding consistent disease subnetworks across microarray datasets.Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorder Volcano plots in analyzing differential expressions with mRNA microarrays.Coex-Rank: An approach incorporating co-expression information for combined analysis of microarray data.Cross-study homogeneity of psoriasis gene expression in skin across a large expression range.Genes dysregulated to different extent or oppositely in estrogen receptor-positive and estrogen receptor-negative breast cancers.Increasing consistency of disease biomarker prediction across datasets.Profile of differentially expressed intratumoral cytokines to predict the immune-polarizing side effects of tamoxifen in breast cancer treatment Identification of reproducible drug-resistance-related dysregulated genes in small-scale cancer cell line experiments.Differentially Expressed Genes and Signature Pathways of Human Prostate Cancer.Assessing the validity and reproducibility of genome-scale predictions Discriminating cancer-related and cancer-unrelated chemoradiation-response genes for locally advanced rectal cancers.Coexposure to phytoestrogens and bisphenol a mimics estrogenic effects in an additive manner Differential expression analysis for individual cancer samples based on robust within-sample relative gene expression orderings across multiple profiling platforms.How advancement in biological network analysis methods empowers proteomics.Current challenges in development of differentially expressed and prognostic prostate cancer biomarkers.Analysis of the gene expression profile of curcumin-treated kidney on endotoxin-induced renal inflammation.Functional roles for redox genes in ethanol sensitivity in Drosophila.Development and validation of a custom microarray for global transcriptome profiling of the fungus Aspergillus nidulans.A quantum leap in the reproducibility, precision, and sensitivity of gene expression profile analysis even when sample size is extremely small.Rank-based predictors for response and prognosis of neoadjuvant taxane-anthracycline-based chemotherapy in breast cancer.A rank-based algorithm of differential expression analysis for small cell line data with statistical control.Functional modules with disease discrimination abilities for various cancers.Finding co-mutated genes and candidate cancer genes in cancer genomes by stratified false discovery rate control.

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Evaluating reproducibility of differential expression discoveries in microarray studies by considering correlated molecular changes.

http://www.wikidata.org/entity/Q34131312

description

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Chenguang Wang

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Dong Wang

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Hui Xiao

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Jinfeng Zou

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Jing Wang

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Lin Zhang

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Min Zhang

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Qing Liu

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Zheng Guo

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P2860

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Gene expression comparison of biopsies from Duchenne muscular dystrophy (DMD) and normal skeletal muscle

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

Significance analysis of microarrays applied to the ionizing radiation response

Identifying biological themes within lists of genes with EASE

Evaluation of gene expression measurements from commercial microarray platforms

Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements.

The effects of normalization on the correlation structure of microarray data

Assessing stability of gene selection in microarray data analysis.

Missing value estimation methods for DNA microarrays

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10.1093/BIOINFORMATICS/BTP295

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13

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25

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24403268

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19417058

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reproducibility

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2940240

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