Functional annotation and network reconstruction through cross-platform integration of microarray data. - Wikidata - awgldk - TriplyDB

Functional annotation and network reconstruction through cross-platform integration of microarray data.

Functional annotation and network reconstruction through cross-platform integration of microarray data.

http://www.wikidata.org/entity/Q51980149

about

NCBI GEO: mining tens of millions of expression profiles--database and tools update Searching for differentially expressed gene combinations.Storing, linking, and mining microarray databases using SRS Revealing system-level correlations between aging and calorie restriction using a mouse transcriptome Multi-gene expression predictors of single drug responses to adjuvant chemotherapy in ovarian carcinoma: predicting platinum resistance.Retrospective analysis of survival improvement by molecular biomarker-based personalized chemotherapy for recurrent ovarian cancer.A formal concept analysis approach to consensus clustering of multi-experiment expression data Gene expression omnibus: microarray data storage, submission, retrieval, and analysis.Gene Aging Nexus: a web database and data mining platform for microarray data on aging.Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data.Microarray data mining using landmark gene-guided clustering.Unraveling transcriptional regulatory programs by integrative analysis of microarray and transcription factor binding data Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle.Integrative missing value estimation for microarray data.False positive reduction in protein-protein interaction predictions using gene ontology annotations.An integrative approach to characterize disease-specific pathways and their coordination: a case study in cancer.Systematic identification of yeast cell cycle transcription factors using multiple data sources.A pathway analysis tool for analyzing microarray data of species with low physiological information.Improving cancer classification accuracy using gene pairs Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns.Motif-guided sparse decomposition of gene expression data for regulatory module identification.Integrative analysis of many weighted co-expression networks using tensor computation.Link-based quantitative methods to identify differentially coexpressed genes and gene pairs.Systematic noise degrades gene co-expression signals but can be corrected.Comprehensive literature review and statistical considerations for microarray meta-analysis Algorithm to identify frequent coupled modules from two-layered network series: application to study transcription and splicing coupling New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior Disrupted cooperation between transcription factors across diverse cancer types.Assessing human germ-cell mutagenesis in the Postgenome Era: a celebration of the legacy of William Lawson (Bill) Russell.WeGET: predicting new genes for molecular systems by weighted co-expression.Deciphering modular and dynamic behaviors of transcriptional networks Strategy for encoding and comparison of gene expression signatures.Computational biology: toward deciphering gene regulatory information in mammalian genomes.Class-specific correlations of gene expressions: identification and their effects on clustering analyses.Semantic Signature: Comparative Interpretation of Gene Expression on a Semantic Space.DBH2H: vertebrate head-to-head gene pairs annotated at genomic and post-genomic levels Gene expression - time to change point of view?A network biology approach evaluating the anticancer effects of bortezomib identifies SPARC as a therapeutic target in adult T-cell leukemia cells.An integrative network approach to map the transcriptome to the phenome.HCNet: a database of heart and calcium functional network.

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Functional annotation and network reconstruction through cross-platform integration of microarray data.

http://www.wikidata.org/entity/Q51980149

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Functional annotation and netw ...... ntegration of microarray data.

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Functional annotation and netw ...... ntegration of microarray data.

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Functional annotation and netw ...... ntegration of microarray data.

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Functional annotation and netw ...... ntegration of microarray data.

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Functional annotation and netw ...... ntegration of microarray data.

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Functional annotation and netw ...... ntegration of microarray data.

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Nature Biotechnology

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Functional annotation and netw ...... ntegration of microarray data.

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Caleb E Finch

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Haiyan Huang

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Ming-Chih J Kao

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Todd E Morgan

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Wing Hung Wong

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Xianghong Jasmine Zhou

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P2860

Gene ontology: tool for the unification of biology

Functional organization of the yeast proteome by systematic analysis of protein complexes

Revealing modularity and organization in the yeast molecular network by integrated analysis of highly heterogeneous genomewide data

Cluster analysis and display of genome-wide expression patterns

Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data

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

Functional profiling of the Saccharomyces cerevisiae genome

A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae

Transcriptional regulatory networks in Saccharomyces cerevisiae

A comprehensive two-hybrid analysis to explore the yeast protein interactome

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10.1038/NBT1058

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2

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23

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Juan Nunez-Iglesias

Oscar M. Aparicio

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232793476

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