Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

about

Gene expression profile analysis of pancreatic cancer based on microarray data.

P2860

Q31066570-6B990595-B796-4D0B-A4A4-78E77E37F465

P2860

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

Item

http://www.wikidata.org/entity/Q38477847

description

2014 nî lūn-bûn

@nan

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

2014年论文

@zh

2014年论文

@zh-cn

name

Uncovering the pathogenesis an ...... using bioinformatics approach.

@en

type

Item

label

Uncovering the pathogenesis an ...... using bioinformatics approach.

@en

prefLabel

Uncovering the pathogenesis an ...... using bioinformatics approach.

@en

P1476

Uncovering the pathogenesis an ...... using bioinformatics approach.

@en

P2093

Bing-Rong Liu

http://www.w3.org/2001/XMLSchema#string

Bing-Zhu Yan

http://www.w3.org/2001/XMLSchema#string

Li-Li Zhao

http://www.w3.org/2001/XMLSchema#string

Li-Wei Zhuang

http://www.w3.org/2001/XMLSchema#string

Rui-Feng Wang

http://www.w3.org/2001/XMLSchema#string

Tong Zhang

http://www.w3.org/2001/XMLSchema#string

P2860

Gene ontology: tool for the unification of biology

The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists

Pancreatic cancer: pathogenesis, prevention and treatment

Discovery of a novel class of exquisitely selective mesenchymal-epithelial transition factor (c-MET) protein kinase inhibitors and identification of the clinical candidate 2-(4-(1-(quinolin-6-ylmethyl)-1H-[1,2,3]triazolo[4,5-b]pyrazin-6-yl)-1H-pyraz

Exploration, normalization, and summaries of high density oligonucleotide array probe level data

Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer

Aberrant expression of zinc transporter ZIP4 (SLC39A4) significantly contributes to human pancreatic cancer pathogenesis and progression

Cytoscape 2.8: new features for data integration and network visualization

STRING v9.1: protein-protein interaction networks, with increased coverage and integration

Pancreatic cancer

P2888

s11033-014-3340-1

P304

4697-4704

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S11033-014-3340-1

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2014-04-12T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1044378755

http://www.w3.org/2001/XMLSchema#string

P698

24728565

http://www.w3.org/2001/XMLSchema#string

P921

bioinformatics

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

about

P2860

P2860

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P577

P6179

P698

P921

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P577

P6179

P698

P921