Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

about

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

Item

http://www.wikidata.org/entity/Q47100089

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@en

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@nl

type

Item

label

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@en

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@nl

prefLabel

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@en

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification.

@nl

P1476

Constructing Genetic Networks using Biomedical Literature and Rare Event Classification

@en

P2093

Amira Al-Aamri

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

Dirar Homouz

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

Maher Maalouf

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

Yousof Al-Hammadi

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

P2860

Content-rich biological network constructed by mining PubMed abstracts

Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts

A survey of computational intelligence techniques in protein function prediction

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

The BioGRID interaction database: 2017 update

STRING v10: protein-protein interaction networks, integrated over the tree of life

Inference of protein function from protein structure.

Improving classification in protein structure databases using text mining.

Text mining improves prediction of protein functional sites.

Protein function prediction using text-based features extracted from the biomedical literature: the CAFA challenge

P2888

s41598-017-16081-2

P304

15784

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

P31

scholarly article

P356

10.1038/S41598-017-16081-2

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

P407

English

P433

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

P478

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

P50

Kamal Taha

P577

2017-11-17T00:00:00Z

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

P698

29150626

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

P932

5694017

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