Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme. - Test2 - elhamkhani - TriplyDB

Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme.

Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme.

http://www.wikidata.org/entity/Q37706877

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Radiogenomic Analysis of Oncological Data: A Technical Survey.Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis.Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.

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Molecular differences between cerebral blood volume and vessel size in glioblastoma multiforme.

http://www.wikidata.org/entity/Q37706877

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 23 August 2016

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vedecký článok

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vetenskaplig artikel

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vědecký článek

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name

Molecular differences between ...... ze in glioblastoma multiforme.

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Molecular differences between ...... ze in glioblastoma multiforme.

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Molecular differences between ...... ze in glioblastoma multiforme.

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Molecular differences between ...... ze in glioblastoma multiforme.

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Molecular differences between ...... ze in glioblastoma multiforme.

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ONCOTARGET.11522

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Molecular differences between ...... ize in glioblastoma multiforme

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Astrid Weyerbrock

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Dieter Henrik Heiland

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Dietmar Pfeifer

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Elias Kellner

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Horst Urbach

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Irina Mader

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Oliver Schnell

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Theo Demerath

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Valerij G Kiselev

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P2860

WGCNA: an R package for weighted correlation network analysis

Cytoscape: a software environment for integrated models of biomolecular interaction networks

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

Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma

Identification of noninvasive imaging surrogates for brain tumor gene-expression modules

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

Hypoxia-induced autophagy is mediated through hypoxia-inducible factor induction of BNIP3 and BNIP3L via their BH3 domains

Integrative Network-based Analysis of Magnetic Resonance Spectroscopy and Genome Wide Expression in Glioblastoma multiforme

Hypoxia--a key regulatory factor in tumour growth

Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: focus on the nonenhancing component of the tumor.

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11083-11093

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scholarly article

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10.18632/ONCOTARGET.11522

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5355248

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