A bioinformatics filtering strategy for identifying radiation response biomarker candidates.
about
Inference of radio-responsive gene regulatory networks using the graphical lasso algorithm.Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.Transcriptional Responses to Ultraviolet and Ionizing Radiation: An Approach Based on Graph Curvature.Radiogenomics and radiotherapy response modeling.A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer.Quantitative proteomic analysis of pancreatic cyst fluid proteins associated with malignancy in intraductal papillary mucinous neoplasms.
P2860
A bioinformatics filtering strategy for identifying radiation response biomarker candidates.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A bioinformatics filtering str ...... response biomarker candidates.
@ast
A bioinformatics filtering str ...... response biomarker candidates.
@en
A bioinformatics filtering str ...... response biomarker candidates.
@nl
type
label
A bioinformatics filtering str ...... response biomarker candidates.
@ast
A bioinformatics filtering str ...... response biomarker candidates.
@en
A bioinformatics filtering str ...... response biomarker candidates.
@nl
prefLabel
A bioinformatics filtering str ...... response biomarker candidates.
@ast
A bioinformatics filtering str ...... response biomarker candidates.
@en
A bioinformatics filtering str ...... response biomarker candidates.
@nl
P2093
P2860
P1433
P1476
A bioinformatics filtering str ...... response biomarker candidates.
@en
P2093
Harry P Wong
Jung Hun Oh
Xiaowei Wang
P2860
P304
P356
10.1371/JOURNAL.PONE.0038870
P407
P50
P577
2012-06-29T00:00:00Z