Consensus clustering and functional interpretation of gene-expression data - Test2 - elhamkhani - TriplyDB

Consensus clustering and functional interpretation of gene-expression data

Consensus clustering and functional interpretation of gene-expression data

http://www.wikidata.org/entity/Q24791011

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ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization.Semi-supervised consensus clustering for gene expression data analysis Pattern recognition methods to relate time profiles of gene expression with phenotypic data: a comparative study.Clustering microarray gene expression data using weighted Chinese restaurant process.Fuzzy association rules for biological data analysis: a case study on yeast.Gene masking - a technique to improve accuracy for cancer classification with high dimensionality in microarray data MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering.Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.LCE: a link-based cluster ensemble method for improved gene expression data analysis.Dynamics of dendritic cell maturation are identified through a novel filtering strategy applied to biological time-course microarray replicates Comparative analysis of acute and chronic corticosteroid pharmacogenomic effects in rat liver: transcriptional dynamics and regulatory structures.SC²ATmd: a tool for integration of the figure of merit with cluster analysis for gene expression data Robust consensus clustering for identification of expressed genes linked to malignancy of human colorectal carcinoma.Critical limitations of consensus clustering in class discovery Evolution and diversity of periplasmic proteins involved in copper homeostasis in gamma proteobacteria.Discovering study-specific gene regulatory networks.Interpolation based consensus clustering for gene expression time series Bioinformatics tools in predictive ecology: applications to fisheries.Structured feature selection using coordinate descent optimization.X box binding protein XBP-1s transactivates the Kaposi's sarcoma-associated herpesvirus (KSHV) ORF50 promoter, linking plasma cell differentiation to KSHV reactivation from latency.Multi-membership gene regulation in pathway based microarray analysis.Sample Level Enrichment Analysis of KEGG Pathways Identifies Clinically Relevant Subtypes of Glioblastoma.Meta-analytic framework for sparse K-means to identify disease subtypes in multiple transcriptomic studies Integrative Sparse K-Means With Overlapping Group Lasso in Genomic Applications for Disease Subtype Discovery.Integrating Gene Regulatory Networks to identify cancer-specific genes.Partitioning of functional gene expression data using principal points Cross-species microarray analysis with the OSCAR system suggests an INSR->Pax6->NQO1 neuro-protective pathway in aging and Alzheimer's disease.Cluster ensemble based on Random Forests for genetic data.β-Catenin-mediated immune evasion pathway frequently operates in primary cutaneous melanomas.Integrated genomic analysis identifies clinically relevant subtypes of renal clear cell carcinoma.Identification of Breast Cancer Subtypes Using Multiple Gene Expression Microarray Datasets The Information Filtering of Gene Network for Chronic Diseases: Social Network Perspective

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Consensus clustering and functional interpretation of gene-expression data

http://www.wikidata.org/entity/Q24791011

description

2004 nî lūn-bûn

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2004 թուականին հրատարակուած գիտական յօդուած

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2004年の論文

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2004年学术文章

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2004年学术文章

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2004年学术文章

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2004年学术文章

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2004年学术文章

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2004年學術文章

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name

Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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type

label

Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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prefLabel

Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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Consensus clustering and functional interpretation of gene-expression data

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Veronica Vinciotti

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Xiaohui Liu

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P2860

Identification of the cis-acting endoplasmic reticulum stress response element responsible for transcriptional induction of mammalian glucose-regulated proteins. Involvement of basic leucine zipper transcription factors

Mammalian transcription factor ATF6 is synthesized as a transmembrane protein and activated by proteolysis in response to endoplasmic reticulum stress

XBP1 mRNA is induced by ATF6 and spliced by IRE1 in response to ER stress to produce a highly active transcription factor

The Ensembl genome database project

Cluster analysis and display of genome-wide expression patterns

IRE1-mediated unconventional mRNA splicing and S2P-mediated ATF6 cleavage merge to regulate XBP1 in signaling the unfolded protein response

Clustering gene-expression data with repeated measurements

Optimization by Simulated Annealing

DAVID: Database for Annotation, Visualization, and Integrated Discovery

Genomic expression programs in the response of yeast cells to environmental changes

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