(Q33322964)

25 July 2017

title

Identifying biomarkers of endometriosis using serum protein fingerprinting and artificial neural networks (English)

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artificial neural network

25 July 2017

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1 reference

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2

Wei Zheng

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25 July 2017

Liang Wang

1

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25 July 2017

Lin Mu

series ordinal

3

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25 July 2017

Su-Zhan Zhang

series ordinal

4

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25 July 2017

publication date

6 March 2008

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International Journal of Gynecology and Obstetrics

25 July 2017

published in

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25 July 2017

volume

101

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25 July 2017

issue

3

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25 July 2017

page(s)

253-258

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Diagnosis of endometriosis: pelvic endoscopy and imaging techniques

25 July 2017

cites work

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https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Endometriosis: radiologic-pathologic correlation

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

The effect of endometriosis, cycle stage, lymphocyte suppression and pregnancy on CA-125 levels in peritoneal fluid and serum in baboons

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

High concentrations of the CA-125, CA 19-9 and CA 15-3 in the peritoneal fluid between patients with and without endometriosis

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Endometrial cysts: diagnosis with MR imaging

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Prostasin, a potential serum marker for ovarian cancer: identification through microarray technology

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Use of proteomic patterns in serum to identify ovarian cancer

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Ovarian cancer marker of 11.7 kDa detected by proteomics is a serum amyloid A1.

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Recognition of culture state using two-dimensional gel electrophoresis with an artificial neural network

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Opportunities and limitations of SELDI-TOF-MS in biomedical research: practical advices

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

What’s the delay? A qualitative study of women’s experiences of reaching a diagnosis of endometriosis

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

Are we employing the most effective CA 125 and CA 19-9 cut-off values to detect endometriosis?

21 January 2018

1 reference

https://api.crossref.org/works/10.1016%2FJ.IJGO.2008.01.018

10.1016/J.IJGO.2008.01.018

21 January 2018

Identifiers

DOI

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25 July 2017

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