Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma
about
"Radio-oncomics" : The potential of radiomics in radiation oncology.Defining the biological basis of radiomic phenotypes in lung cancer.Quantitative Imaging Biomarkers for Risk Stratification of Patients with Recurrent Glioblastoma Treated with Bevacizumab.Towards precision medicine: from quantitative imaging to radiomics.Radiomics: the bridge between medical imaging and personalized medicine.Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma.Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis.Information-Based Medicine in Glioma Patients: A Clinical Perspective.
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P2860
Imaging-genomics reveals driving pathways of MRI derived volumetric tumor phenotype features in Glioblastoma
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
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2016年论文
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name
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@ast
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@en
type
label
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@ast
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@en
prefLabel
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@ast
Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@en
P2093
P2860
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Imaging-genomics reveals drivi ...... otype features in Glioblastoma
@en
P2093
Chad A Holder
David A Gutman
William D Dunn
P2860
P2888
P356
10.1186/S12885-016-2659-5
P407
P577
2016-08-08T00:00:00Z
P6179
1042550051