Relevance of a TCGA-derived Glioblastoma Subtype Gene-Classifier among Patient Populations

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Relevance of a TCGA-derived Glioblastoma Subtype Gene-Classifier among Patient Populations ; volume:9 ; number:1 ; day:15 ; month:5 ; year:2019 ; pages:1-10 ; date:12.2019
Scientific reports ; 9, Heft 1 (15.5.2019), 1-10, 12.2019

Creator: Teo, Wan-Yee
Sekar, Karthik
Seshachalam, Pratap
Shen, Jianhe
Chow, Wing-Yuk
Lau, Ching C.
Yang, HeeKyoung
Park, Junseong
Kang, Seok-Gu
Li, Xiaonan
Nam, Do-Hyun
Hui, Kam M.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-019-43173-y

URN: urn:nbn:de:101:1-2019090203425528177468

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Teo, Wan-Yee
Sekar, Karthik
Seshachalam, Pratap
Shen, Jianhe
Chow, Wing-Yuk
Lau, Ching C.
Yang, HeeKyoung
Park, Junseong
Kang, Seok-Gu
Li, Xiaonan
Nam, Do-Hyun
Hui, Kam M.
SpringerLink (Online service)

Other Objects (12)

Morphometic analysis of TCGA glioblastoma multiforme

Hochschulschrift

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Morphometic analysis of TCGA glioblastoma multiforme

Hochschulschrift

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Morphometic analysis of TCGA glioblastoma multiforme

Hochschulschrift

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Relevance of a TCGA-derived Glioblastoma Subtype Gene-Classifier among Patient Populations

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Morphometic analysis of TCGA glioblastoma multiforme

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Morphometic analysis of TCGA glioblastoma multiforme

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Morphometic analysis of TCGA glioblastoma multiforme

Mesenchymal subtype acquisition and hypoxia in glioblastoma multiforme

Subtype-specific differences in the cellular glioblastoma microenvironment

Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

Chemokine receptors differentially expressed by race category and molecular subtype in the breast cancer TCGA cohort

Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus

Integrated regulatory models for inference of subtype‐specific susceptibilities in glioblastoma

Identification of intrinsic subtype-specific prognostic microRNAs in primary glioblastoma

Glioblastoma mesenchymal subtype enhances antioxidant defence to reduce susceptibility to ferroptosis

iGlioSub: an integrative transcriptomic and epigenomic classifier for glioblastoma molecular subtypes

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma

Investigation of LGALS2 expression in the TCGA database reveals its clinical relevance in breast cancer immunotherapy and drug resistance

Related objects

Reset password