Spatiotemporal genomic architecture informs precision oncology in glioblastoma. - Wikidata - awgldk - TriplyDB

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

http://www.wikidata.org/entity/Q38927317

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Combating subclonal evolution of resistant cancer phenotypes.Genomic analysis of the origins and evolution of multicentric diffuse lower-grade gliomas.Tumor Evolution of Glioma-Intrinsic Gene Expression Subtypes Associates with Immunological Changes in the Microenvironment.Biological and therapeutic implications of multisector sequencing in newly diagnosed glioblastomas.Identification of a novel fusion gene HMGA2-EGFR in glioblastoma.Why are there hotspot mutations in the TP53 gene in human cancers?Application of single-cell sequencing in human cancer.The Role of Class IA Phosphatidylinositol-4,5-Bisphosphate 3-Kinase Catalytic Subunits in Glioblastoma.Dissecting human gliomas by single-cell RNA sequencing.Order in Chaos: Understanding Intratumoral Heterogeneity in Gliomas by Tracking Tumor Cell Fate.Reconstructing the molecular life history of gliomas.RESTRICTION OF γ34.5-DELETED ONCOLYTIC HERPES SIMPLEX VIRUS REPLICATION IN GLIOBLASTOMA STEM-LIKE CELLS.The DNA methylation landscape of glioblastoma disease progression shows extensive heterogeneity in time and space A Critical Overview of Targeted Therapies for Glioblastoma Next-Generation Modeling of Human Cancers

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P2860

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

http://www.wikidata.org/entity/Q38927317

description

2017 nî lūn-bûn

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2017年の論文

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2017年論文

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2017年論文

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2017年论文

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2017年论文

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2017年论文

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name

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

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type

label

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

@en

prefLabel

Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

@en

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Nature Genetics

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Spatiotemporal genomic architecture informs precision oncology in glioblastoma.

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Andrew Blumberg

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

Andrew Chen

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

Chul-Kee Park

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Do-Hyun Nam

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

Doo-Sik Kong

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

Erik Ladewig

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

Hae-Ock Lee

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

Ho Jun Seol

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

Hyun Ju Kang

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

In-Hee Lee

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

P2860

Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme

Cell signaling by receptor tyrosine kinases

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

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository

Lessons from hereditary colorectal cancer

The somatic genomic landscape of glioblastoma

Identification of a unique TGF-β-dependent molecular and functional signature in microglia

The Path to Personalized Medicine

A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

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594-599

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scholarly article

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10.1038/NG.3806

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4

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49

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Woong-Yang Park

Antonio Iavarone

Daniel I S Rosenbloom

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2017-03-06T00:00:00Z

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1084129146

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28263318

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5627771

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