Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis.

about

Cervicovaginal Fungi and Bacteria Associated With Cervical Intraepithelial Neoplasia and High-Risk Human Papillomavirus Infections in a Hispanic Population

P2860

Q58572820-2674322A-EC05-4854-ABCC-40F0ACBFC613

P2860

Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis.

Item

http://www.wikidata.org/entity/Q47714587

description

2018 nî lūn-bûn

@nan

2018年の論文

@ja

2018年学术文章

@wuu

2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

@yue

2018年學術文章

@zh

2018年學術文章

@zh-hant

name

Associations between sexual ha ...... by Bayesian network analysis.

@en

Associations between sexual ha ...... by Bayesian network analysis.

@nl

type

Item

label

Associations between sexual ha ...... by Bayesian network analysis.

@en

Associations between sexual ha ...... by Bayesian network analysis.

@nl

prefLabel

Associations between sexual ha ...... by Bayesian network analysis.

@en

Associations between sexual ha ...... by Bayesian network analysis.

@nl

P1476

Associations between sexual ha ...... d by Bayesian network analysis

@en

P2093

Jacques Ravel

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

Kyu-Chul Cho

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

Larry J Forney

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

Noelle Noyes

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

P2860

Cloning of 16S rRNA genes amplified from normal and disturbed vaginal microflora suggests a strong association between Atopobium vaginae, Gardnerella vaginalis and bacterial vaginosis

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

Reliability of diagnosing bacterial vaginosis is improved by a standardized method of gram stain interpretation

Bacterial vaginosis: a synthesis of the literature on etiology, prevalence, risk factors, and relationship with chlamydia and gonorrhea infections

Bacterial Vaginosis Biofilms: Challenges to Current Therapies and Emerging Solutions

Toward Accurate and Quantitative Comparative Metagenomics

Unraveling the Dynamics of the Human Vaginal Microbiome

Relative weight and race influence average age at menarche: results from two nationally representative surveys of US girls studied 25 years apart

Vaginal microbiome of reproductive-age women.

Bacterial communities in women with bacterial vaginosis: high resolution phylogenetic analyses reveal relationships of microbiota to clinical criteria

P304

e0191625

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

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0191625

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

Zaid Abdo

P577

2018-01-24T00:00:00Z

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

P698

29364944

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

P921

Amzerioù (merc'hed)

microbiome

P932

5783405

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

Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis.

about

P2860

P2860

Associations between sexual habits, menstrual hygiene practices, demographics and the vaginal microbiome as revealed by Bayesian network analysis.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P50

P577

P698

P921

P932