(Q51286632)

2 April 2018

title

Serum proteomic pattern analysis for early cancer detection. (English)

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2 April 2018

author name string

Ying Liu

series ordinal

1

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2 April 2018

publication date

1 February 2006

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2 April 2018

Technology in Cancer Research and Treatment

published in

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2 April 2018

volume

5

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2 April 2018

issue

1

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2 April 2018

page(s)

61-66

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2 April 2018

Proteomic applications for the early detection of cancer

cites work

1 reference

https://api.crossref.org/works/10.1177%2F153303460600500108

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A data review and re-assessment of ovarian cancer serum proteomic profiling

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https://api.crossref.org/works/10.1177%2F153303460600500108

Serum proteomic patterns for detection of prostate cancer

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https://api.crossref.org/works/10.1177%2F153303460600500108

Peer Reviewed: SELDI-TOF MS for Diagnostic Proteomics

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https://api.crossref.org/works/10.1177%2F153303460600500108

Clinical proteomics: translating benchside promise into bedside reality

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Cancer proteomics: the state of the art

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https://api.crossref.org/works/10.1177%2F153303460600500108

Use of proteomic patterns in serum to identify ovarian cancer

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https://api.crossref.org/works/10.1177%2F153303460600500108

Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine

21 January 2018

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A comparative study on feature selection methods for drug discovery.

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https://api.crossref.org/works/10.1177%2F153303460600500108

Support vector machine classification and validation of cancer tissue samples using microarray expression data

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https://api.crossref.org/works/10.1177%2F153303460600500108

Gene Selection for Cancer Classification using Support Vector Machines

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21 January 2018

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Support vector machines for predicting protein structural class

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A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach.

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10.1177/153303460600500108

21 January 2018

Identifiers

DOI

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2 April 2018

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2 April 2018