Endogenous network states predict gain or loss of functions for genetic mutations in hepatocellular carcinoma.
about
From molecular interaction to acute promyelocytic leukemia: Calculating leukemogenesis and remission from endogenous molecular-cellular network.Decoding early myelopoiesis from dynamics of core endogenous network.Potential landscape of high dimensional nonlinear stochastic dynamics with large noise.Endogenous Molecular-Cellular Network Cancer Theory: A Systems Biology Approach.Beyond cancer genes: colorectal cancer as robust intrinsic states formed by molecular interactions.
P2860
Endogenous network states predict gain or loss of functions for genetic mutations in hepatocellular carcinoma.
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
Endogenous network states pred ...... s in hepatocellular carcinoma.
@ast
Endogenous network states pred ...... s in hepatocellular carcinoma.
@en
type
label
Endogenous network states pred ...... s in hepatocellular carcinoma.
@ast
Endogenous network states pred ...... s in hepatocellular carcinoma.
@en
prefLabel
Endogenous network states pred ...... s in hepatocellular carcinoma.
@ast
Endogenous network states pred ...... s in hepatocellular carcinoma.
@en
P2093
P2860
P356
P1476
Endogenous network states pred ...... s in hepatocellular carcinoma.
@en
P2093
P2860
P304
P356
10.1098/RSIF.2015.1115
P577
2016-02-01T00:00:00Z