Risk prediction model for epithelial ovarian cancer using molecular markers and clinical characteristics.
about
Characterization of ovarian clear cell carcinoma using target drug-based molecular biomarkers: implications for personalized cancer therapy.HBXIP overexpression is correlated with the clinical features and survival outcome of ovarian cancer.EGFR as a prognostic biomarker and therapeutic target in ovarian cancer: evaluation of patient cohort and literature reviewThe prognostic value of HER2 in ovarian cancer: A meta-analysis of observational studies.Germline MLH1, MSH2 and MSH6 variants in Brazilian patients with colorectal cancer and clinical features suggestive of Lynch Syndrome.
P2860
Risk prediction model for epithelial ovarian cancer using molecular markers and clinical characteristics.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Risk prediction model for epit ...... and clinical characteristics.
@ast
Risk prediction model for epit ...... and clinical characteristics.
@en
type
label
Risk prediction model for epit ...... and clinical characteristics.
@ast
Risk prediction model for epit ...... and clinical characteristics.
@en
prefLabel
Risk prediction model for epit ...... and clinical characteristics.
@ast
Risk prediction model for epit ...... and clinical characteristics.
@en
P2093
P2860
P1476
Risk prediction model for epit ...... s and clinical characteristics
@en
P2093
Aimin Zhao
Meiying Zhang
Xiangjun Sun
Yanying Shen
P2860
P2888
P356
10.1186/S13048-015-0195-6
P577
2015-10-21T00:00:00Z
P5875
P6179
1043393282