Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages. - Wikidata - wikimedia - TriplyDB

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.

http://www.wikidata.org/entity/Q30582713

about

CCNA2 is a prognostic biomarker for ER+ breast cancer and tamoxifen resistance The Arc Gene Confers Genetic Susceptibility to Alzheimer's Disease in Han Chinese.Clustering of Expression Data in Chronic Lymphocytic Leukemia Reveals New Molecular Subdivisions.A Novel Method to Identify Differential Pathways in Hippocampus Alzheimer's Disease Transcriptional regulation of oncogenic protein kinase Cϵ (PKCϵ) by STAT1 and Sp1 proteins.Identification of core T cell network based on immunome interactome.Comparison of merging and meta-analysis as alternative approaches for integrative gene expression analysis.Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma Disulfiram (DSF) acts as a copper ionophore to induce copper-dependent oxidative stress and mediate anti-tumor efficacy in inflammatory breast cancer.Meta-analysis of gene expression in relapsed childhood B-acute lymphoblastic leukemia Identification of novel biomarkers for preeclampsia on the basis of differential expression network analysis.Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery Identification of hub genes and pathways associated with hepatocellular carcinoma based on network strategy.A 3q gene signature associated with triple negative breast cancer organ specific metastasis and response to neoadjuvant chemotherapy.Comparative study of computational methods for reconstructing genetic networks of cancer-related pathways.Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis.Cross-species gene modules emerge from a systems biology approach to osteoarthritis.Study of Meta-analysis strategies for network inference using information-theoretic approaches.ID helix-loop-helix proteins as determinants of cell survival in B-cell chronic lymphocytic leukemia cells in vitro.Identification of genes and gene pathways associated with major depressive disorder by integrative brain analysis of rat and human prefrontal cortex transcriptomes.Multiple differential expression networks identify key genes in rectal cancer.A novel method to identify pathways associated with renal cell carcinoma based on a gene co-expression network Monitoring of technical variation in quantitative high-throughput datasets Rhomboid family gene expression profiling in breast normal tissue and tumor samples.An extracellular matrix-related prognostic and predictive indicator for early-stage non-small cell lung cancer.Biomarkers identification for acute myocardial infarction detection via weighted gene co-expression network analysis.Transcriptional memory of cells of origin overrides β-catenin requirement of MLL cancer stem cells.CD4+ and B Lymphocyte Expression Quantitative Traits at Rheumatoid Arthritis Risk Loci in Patients With Untreated Early Arthritis: Implications for Causal Gene Identification.Identification of LINC01279 as a cell cycle‑associated long non‑coding RNA in endometriosis with GBA analysis

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P2860

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.

http://www.wikidata.org/entity/Q30582713

description

2012 nî lūn-bûn

@nan

2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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Unlocking the potential of pub ...... rging R/Bioconductor packages.

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Unlocking the potential of pub ...... rging R/Bioconductor packages.

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1471-2105-13-335

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BMC Bioinformatics

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Unlocking the potential of pub ...... rging R/Bioconductor packages.

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Alain Coletta

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

Ann Nowé

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

Colin Molter

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

Cosmin Lazar

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

David Steenhoff

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David Y Weiss Solís

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

Hugues Bersini

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Jonatan Taminau

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Robin Duque

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Stijn Meganck

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P2860

Bioconductor: open software development for computational biology and bioinformatics

NCBI GEO: archive for functional genomics data sets--10 years on

Sources of variability and effect of experimental approach on expression profiling data interpretation

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

Sources of variation in Affymetrix microarray experiments.

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

Adjusting batch effects in microarray expression data using empirical Bayes methods

Tackling the widespread and critical impact of batch effects in high-throughput data

InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor.

Adjustment of systematic microarray data biases.

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1471-2105-13-335

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10.1186/1471-2105-13-335

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13

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