A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.
about
Robust transcriptional tumor signatures applicable to both formalin-fixed paraffin-embedded and fresh-frozen samples.An individualised signature for predicting response with concordant survival benefit for lung adenocarcinoma patients receiving platinum-based chemotherapy.Multi-omics landscapes of colorectal cancer subtypes discriminated by an individualized prognostic signature for 5-fluorouracil-based chemotherapy.Circumvent the uncertainty in the applications of transcriptional signatures to tumor tissues sampled from different tumor sites.Robust transcriptional signatures for low-input RNA samples based on relative expression orderings.Quantitative or qualitative transcriptional diagnostic signatures? A case study for colorectal cancer.
P2860
A rank-based transcriptional signature for predicting relapse risk of stage II colorectal cancer identified with proper data sources.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մարտին հրատարակված գիտական հոդված
@hy
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
name
A rank-based transcriptional s ...... fied with proper data sources.
@ast
A rank-based transcriptional s ...... fied with proper data sources.
@en
type
label
A rank-based transcriptional s ...... fied with proper data sources.
@ast
A rank-based transcriptional s ...... fied with proper data sources.
@en
prefLabel
A rank-based transcriptional s ...... fied with proper data sources.
@ast
A rank-based transcriptional s ...... fied with proper data sources.
@en
P2093
P2860
P356
P1433
P1476
A rank-based transcriptional s ...... ified with proper data sources
@en
P2093
Beibei Chen
Chenguang Wang
Lishuang Qi
Ruiping Wang
Wenyuan Zhao
P2860
P304
19060-19071
P356
10.18632/ONCOTARGET.7956
P407
P50
P577
2016-04-01T00:00:00Z