Integrative subtype discovery in glioblastoma using iCluster. - Wikidata - wikimedia - TriplyDB

Integrative subtype discovery in glioblastoma using iCluster.

Integrative subtype discovery in glioblastoma using iCluster.

http://www.wikidata.org/entity/Q31059566

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Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the Challenges Understanding Genotype-Phenotype Effects in Cancer via Network Approaches Computational characterisation of cancer molecular profiles derived using next generation sequencing Dexamethasone-Mediated Activation of Fibronectin Matrix Assembly Reduces Dispersal of Primary Human Glioblastoma Cells Recurrent Glioblastomas Reveal Molecular Subtypes Associated with Mechanistic Implications of Drug-Resistance Molecular portraits: the evolution of the concept of transcriptome-based cancer signatures Advances in diagnostic and treatment modalities for intracranial tumors.Multiscale integration of -omic, imaging, and clinical data in biomedical informatics.Methods of integrating data to uncover genotype-phenotype interactions.Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.MVDA: a multi-view genomic data integration methodology.Transcriptomic and metabolomic data integration.Integrating heterogeneous genomic data to accurately identify disease subtypes Integrative methods for analyzing big data in precision medicine.Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data ICM: a web server for integrated clustering of multi-dimensional biomedical data Machine learning and systems genomics approaches for multi-omics data.Tumor suppressive miRNA-34a suppresses cell proliferation and tumor growth of glioma stem cells by targeting Akt and Wnt signaling pathways.More Is Better: Recent Progress in Multi-Omics Data Integration Methods In vitro downregulated hypoxia transcriptome is associated with poor prognosis in breast cancer.AKT pathway genes define 5 prognostic subgroups in glioblastoma.Breast cancer patient stratification using a molecular regularized consensus clustering method.What are we learning from the cancer genome?The NF1 gene revisited - from bench to bedside.Dissecting cancer heterogeneity with a probabilistic genotype-phenotype model.Preferential activation of the hedgehog pathway by epigenetic modulations in HPV negative HNSCC identified with meta-pathway analysis Characterization of aberrant pathways across human cancers Integrative and regularized principal component analysis of multiple sources of data Integrative clustering of multi-level 'omic data based on non-negative matrix factorization algorithm Role of Biomarkers in the Clinical Management of Glioblastomas: What are the Barriers and How Can We Overcome Them?Tumor Mesenchymal Stem-Like Cell as a Prognostic Marker in Primary Glioblastoma.Module cover - a new approach to genotype-phenotype studies.Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net.Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes.Cancer whole-genome sequencing: present and future.Impacts of somatic mutations on gene expression: an association perspective.Epidermal growth factor-like module containing mucin-like hormone receptor 2 expression in gliomas.Integrated genomic characterization of oesophageal carcinoma.Combined epidermal growth factor receptor and Beclin1 autophagic protein expression analysis identifies different clinical presentations, responses to chemo- and radiotherapy, and prognosis in glioblastoma.Network-based analysis of omics with multi-objective optimization.

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P2860

Integrative subtype discovery in glioblastoma using iCluster.

http://www.wikidata.org/entity/Q31059566

description

2012 nî lūn-bûn

@nan

2012 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Integrative subtype discovery in glioblastoma using iCluster.

@ast

Integrative subtype discovery in glioblastoma using iCluster.

@en

type

label

Integrative subtype discovery in glioblastoma using iCluster.

@ast

Integrative subtype discovery in glioblastoma using iCluster.

@en

prefLabel

Integrative subtype discovery in glioblastoma using iCluster.

@ast

Integrative subtype discovery in glioblastoma using iCluster.

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Integrative subtype discovery in glioblastoma using iCluster.

@en

P2093

Adam B Olshen

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Jason Huse

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

Qianxing Mo

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

Ronglai Shen

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

Venkatraman E Seshan

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P2860

Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma

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

A prediction-based resampling method for estimating the number of clusters in a dataset.

The fundamental role of epigenetic events in cancer

The cancer genome

SPARSE INTEGRATIVE CLUSTERING OF MULTIPLE OMICS DATA SETS.

Variable selection for model-based high-dimensional clustering and its application to microarray data.

Are clusters found in one dataset present in another dataset?

Functional copy-number alterations in cancer.

Sparse canonical methods for biological data integration: application to a cross-platform study.

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Nikolaus Schultz

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