Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method
about
Cell division cycle 34 is highly expressed in hepatitis C virus-positive hepatocellular carcinoma with favorable phenotypes.Identification of novel genetic regulations associated with airway epithelial homeostasis using next-generation sequencing data and bioinformatics approaches.Low expression of miR-199 in hepatocellular carcinoma contributes to tumor cell hyper-proliferation by negatively suppressing XBP1NFKB1 and Cancer: Friend or Foe?Personalized identification of tumor-associated immunogenic neoepitopes in hepatocellular carcinoma in complete remission after sorafenib treatment
P2860
Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method
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
Investigating the mechanism of ...... and big database mining method
@ast
Investigating the mechanism of ...... and big database mining method
@en
type
label
Investigating the mechanism of ...... and big database mining method
@ast
Investigating the mechanism of ...... and big database mining method
@en
prefLabel
Investigating the mechanism of ...... and big database mining method
@ast
Investigating the mechanism of ...... and big database mining method
@en
P2860
P356
P1433
P1476
Investigating the mechanism of ...... and big database mining method
@en
P2093
Bor-Sen Chen
Ping-Yao Chang
P2860
P304
79453-79473
P356
10.18632/ONCOTARGET.13100
P407
P50
P577
2016-11-01T00:00:00Z