Development of a metabolites risk score for one-year mortality risk prediction in pancreatic adenocarcinoma patients.
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Metabolomics approaches in pancreatic adenocarcinoma: tumor metabolism profiling predicts clinical outcome of patients.Computational Model Predicts the Effects of Targeting Cellular Metabolism in Pancreatic Cancer.Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approachMetabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites.Identification of ENTPD8 and cytidine in pancreatic cancer by metabolomic and transcriptomic conjoint analysis
P2860
Development of a metabolites risk score for one-year mortality risk prediction in pancreatic adenocarcinoma patients.
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
@zh
2016年论文
@zh-cn
name
Development of a metabolites r ...... eatic adenocarcinoma patients.
@en
type
label
Development of a metabolites r ...... eatic adenocarcinoma patients.
@en
prefLabel
Development of a metabolites r ...... eatic adenocarcinoma patients.
@en
P2093
P2860
P50
P356
P1433
P1476
Development of a metabolites r ...... eatic adenocarcinoma patients.
@en
P2093
Andrea Fontana
Domenica Gioffreda
Fulvio Mattivi
Urska Vrhovsek
P2860
P304
P356
10.18632/ONCOTARGET.7108
P407
P50
P577
2016-02-01T00:00:00Z