Bioinformatics analysis to identify the critical genes, microRNAs and long noncoding RNAs in melanoma.

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The cytomegalovirus protein US31 induces inflammation through mono-macrophages in systemic lupus erythematosus by promoting NF-κB2 activation.Integrative analysis of competing endogenous RNA network focusing on long noncoding RNA associated with progression of cutaneous melanoma.

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Bioinformatics analysis to identify the critical genes, microRNAs and long noncoding RNAs in melanoma.

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http://www.wikidata.org/entity/Q38672005

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2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

Bioinformatics analysis to ide ...... ng noncoding RNAs in melanoma.

@en

type

Item

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Bioinformatics analysis to ide ...... ng noncoding RNAs in melanoma.

@en

prefLabel

Bioinformatics analysis to ide ...... ng noncoding RNAs in melanoma.

@en

P1476

Bioinformatics analysis to ide ...... ng noncoding RNAs in melanoma.

@en

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Jiulong Liang

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

Kai Tao

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

Qian Zhang

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

Yaguang Tian

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

Yang Wang

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

Yu Zhang

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P2860

Human MicroRNA targets

Cytoscape: a software environment for integrated models of biomolecular interaction networks

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

GENCODE: the reference human genome annotation for The ENCODE Project

KEGG for linking genomes to life and the environment

miRecords: an integrated resource for microRNA-target interactions

DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists

Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR -- how well do they correlate?

Prediction of mammalian microRNA targets

Combinatorial microRNA target predictions

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e7497

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scholarly article

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10.1097/MD.0000000000007497

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English

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

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2017-07-01T00:00:00Z

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28723760

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bioinformatics

microRNA

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5521900

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Bioinformatics analysis to identify the critical genes, microRNAs and long noncoding RNAs in melanoma.

about

P2860

P2860

Bioinformatics analysis to identify the critical genes, microRNAs and long noncoding RNAs in melanoma.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698

P921

P932