Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model.
about
Development of hepatocellular cancer induced by long term low fat-high carbohydrate diet in a NAFLD/NASH mouse model.Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis.Molecular study of wound healing after using biosynthesized BNC/Fe3O4 nanocomposites assisted with a bioinformatics approach.
P2860
Bioinformatics approach to predict target genes for dysregulated microRNAs in hepatocellular carcinoma: study on a chemically-induced HCC mouse model.
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
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@ast
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@en
type
label
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@ast
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@en
prefLabel
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@ast
Bioinformatics approach to pre ...... cally-induced HCC mouse model.
@en
P2093
P2860
P1433
P1476
Bioinformatics approach to pre ...... ically-induced HCC mouse model
@en
P2093
Edoardo Alesse
Filippo Del Vecchio
Francesca Zazzeroni
Francesco Gallo
Pasquale Caianiello
Valentina Mastroiaco
P2860
P2888
P356
10.1186/S12859-015-0836-1
P577
2015-12-10T00:00:00Z