Similarity network fusion for aggregating data types on a genomic scale. - Wikidata - wikimedia - TriplyDB

Similarity network fusion for aggregating data types on a genomic scale.

Similarity network fusion for aggregating data types on a genomic scale.

http://www.wikidata.org/entity/Q30742291

about

Understanding Genotype-Phenotype Effects in Cancer via Network Approaches Cancer classification in the genomic era: five contemporary problems Integrative analyses of cancer data: a review from a statistical perspective Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.MVDA: a multi-view genomic data integration methodology.Gene Prioritization by Compressive Data Fusion and Chaining Integrating heterogeneous genomic data to accurately identify disease subtypes Integrative methods for analyzing big data in precision medicine.Identifying network-based biomarkers of complex diseases from high-throughput data.Methods for the integration of multi-omics data: mathematical aspects Multiplex methods provide effective integration of multi-omic data in genome-scale models.A graph theoretical approach to data fusion Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data High-dimensional genomic data bias correction and data integration using MANCIE ICM: a web server for integrated clustering of multi-dimensional biomedical data Toward the integration of Omics data in epidemiological studies: still a "long and winding road".Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.Practical aspects of gene regulatory inference via conditional inference forests from expression data.A review on machine learning principles for multi-view biological data integration.Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.More Is Better: Recent Progress in Multi-Omics Data Integration Methods Integrating phenotypic small-molecule profiling and human genetics: the next phase in drug discovery.Inferring microbial interaction networks based on consensus similarity network fusion.Integrative network analysis for survival-associated gene-gene interactions across multiple genomic profiles in ovarian cancer.Improved prediction of drug-target interactions using regularized least squares integrating with kernel fusion technique.A two-layer integration framework for protein complex detection.Integrative regression network for genomic association study.Integrating Multiple Evidence Sources to Predict Adverse Drug Reactions Based on a Systems Pharmacology Model.BRIDES: A New Fast Algorithm and Software for Characterizing Evolving Similarity Networks Using Breakthroughs, Roadblocks, Impasses, Detours, Equals and Shortcuts.Block network mapping approach to quantitative trait locus analysis.Predicting drug-target interactions by dual-network integrated logistic matrix factorization.Building SuperModels: emerging patient avatars for use in precision and systems medicine Predicting disease-related genes using integrated biomedical networks.Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data.Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach.Approaches to uncovering cancer diagnostic and prognostic molecular signatures MICRORNA-AUGMENTED PATHWAYS (mirAP) AND THEIR APPLICATIONS TO PATHWAY ANALYSIS AND DISEASE SUBTYPING Multidimensional Integrative Genomics Approaches to Dissecting Cardiovascular Disease.Integrative analysis of protein-coding and non-coding RNAs identifies clinically relevant subtypes of clear cell renal cell carcinoma.

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Similarity network fusion for aggregating data types on a genomic scale.

http://www.wikidata.org/entity/Q30742291

description

2014 nî lūn-bûn

@nan

2014 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2014年の論文

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2014年論文

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2014年論文

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2014年論文

@zh-hk

2014年論文

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2014年論文

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2014年论文

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name

Similarity network fusion for aggregating data types on a genomic scale.

@ast

Similarity network fusion for aggregating data types on a genomic scale.

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type

label

Similarity network fusion for aggregating data types on a genomic scale.

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Similarity network fusion for aggregating data types on a genomic scale.

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prefLabel

Similarity network fusion for aggregating data types on a genomic scale.

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Similarity network fusion for aggregating data types on a genomic scale.

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Similarity network fusion for aggregating data types on a genomic scale.

@en

P2093

Anna Goldenberg

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

Aziz M Mezlini

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

Bo Wang

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

Feyyaz Demir

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Marc Fiume

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Zhuowen Tu

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P2860

Significance analysis of microarrays applied to the ionizing radiation response

Comprehensive molecular characterization of human colon and rectal cancer

Comprehensive molecular portraits of human breast tumours

Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1

Missing value estimation methods for DNA microarrays

Comprehensive genomic characterization of squamous cell lung cancers.

PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis.

Protein alterations associated with temozolomide resistance in subclones of human glioblastoma cell lines.

Network-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment.

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3

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11

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Benjamin Haibe-Kains

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2014-01-26T00:00:00Z

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1014600221

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24464287

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