Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC). - Wikidata - awgldk - TriplyDB

Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC).

Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC).

http://www.wikidata.org/entity/Q33594352

about

Molecular signatures from omics data: from chaos to consensus Computational medicine: translating models to clinical care MiRImpact, a new bioinformatic method using complete microRNA expression profiles to assess their overall influence on the activity of intracellular molecular pathways.Exploiting dependencies of pairwise comparison outcomes to predict patterns of gene response iCOSSY: An Online Tool for Context-Specific Subnetwork Discovery from Gene Expression Data.Identifying disease-associated pathways in one-phenotype data based on reversal gene expression orderings.Gene interaction enrichment and network analysis to identify dysregulated pathways and their interactions in complex diseases The top-scoring 'N' algorithm: a generalized relative expression classification method from small numbers of biomolecules Learning dysregulated pathways in cancers from differential variability analysis.AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signatures.Transcriptional analysis of aggressiveness and heterogeneity across grades of astrocytomas.Identification of direction in gene networks from expression and methylation.Automatic context-specific subnetwork discovery from large interaction networks Cladograms with Path to Event (ClaPTE): a novel algorithm to detect associations between genotypes or phenotypes using phylogenies Systems approaches to molecular cancer diagnostics.Behavior-specific changes in transcriptional modules lead to distinct and predictable neurogenomic states Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited An argument for mechanism-based statistical inference in cancer.Research resource: whole transcriptome RNA sequencing detects multiple 1α,25-dihydroxyvitamin D(3)-sensitive metabolic pathways in developing zebrafish.A method for predicting target drug efficiency in cancer based on the analysis of signaling pathway activation Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brain.Molecular pathway activation features linked with transition from normal skin to primary and metastatic melanomas in human Gene Set-Based Functionome Analysis of Pathogenesis in Epithelial Ovarian Serous Carcinoma and the Molecular Features in Different FIGO Stages Gene Set-Based Integrative Analysis Revealing Two Distinct Functional Regulation Patterns in Four Common Subtypes of Epithelial Ovarian Cancer.Pathway analyses and understanding disease associations.Identification of phenotype deterministic genes using systemic analysis of transcriptional response.Edge biomarkers for classification and prediction of phenotypes.Bioinformatics Meets Biomedicine: OncoFinder, a Quantitative Approach for Interrogating Molecular Pathways Using Gene Expression Data.GRAPE: a pathway template method to characterize tissue-specific functionality from gene expression profiles.Integrative analysis of cancer-related signaling pathways.What mRNA Abundances Can Tell us about Metabolism Identification of Robust Pathway Markers for Cancer through Rank-Based Pathway Activity Inference.IL-10 alters immunoproteostasis in APP mice, increasing plaque burden and worsening cognitive behavior.Comparative transcriptomic analysis of human placentae at term and preterm delivery.Splice Expression Variation Analysis (SEVA) for Inter-tumor Heterogeneity of Gene Isoform Usage in Cancer.Discovering the Deregulated Molecular Functions Involved in Malignant Transformation of Endometriosis to Endometriosis-Associated Ovarian Carcinoma Using a Data-Driven, Function-Based Analysis.Integrating the dysregulated inflammasome-based molecular functionome in the malignant transformation of endometriosis-associated ovarian carcinoma.Digitizing omics profiles by divergence from a baseline.

P2860

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P2860

Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC).

http://www.wikidata.org/entity/Q33594352

description

2010 nî lūn-bûn

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2010 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի մայիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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JOURNAL.PCBI.1000792

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PLOS Computational Biology

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Identifying tightly regulated ...... ial Rank Conservation (DIRAC).

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P2093

Donald Geman

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James A Eddy

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Nathan D Price

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P2860

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

Core signaling pathways in human pancreatic cancers revealed by global genomic analyses

An integrated genomic analysis of human glioblastoma multiforme

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

Classifying gene expression profiles from pairwise mRNA comparisons

Highly accurate two-gene classifier for differentiating gastrointestinal stromal tumors and leiomyosarcomas

Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors.

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Tumorigenic conversion of primary embryo fibroblasts requires at least two cooperating oncogenes

Cancer cell metabolism: Warburg and beyond

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e1000792

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scholarly article

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10.1371/JOURNAL.PCBI.1000792

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