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Application of serum SELDI proteomic patterns in diagnosis of lung cancer
scientific article
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instance of
scholarly article
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title
Application of serum SELDI proteomic patterns in diagnosis of lung cancer
(English)
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main subject
diagnosis
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author name string
Shuan-ying Yang
series ordinal
1
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Xue-yuan Xiao
series ordinal
2
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Wang-gang Zhang
series ordinal
3
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Li-juan Zhang
series ordinal
4
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Wei Zhang
series ordinal
5
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Bin Zhou
series ordinal
6
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Guoan Chen
series ordinal
7
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Da-cheng He
series ordinal
8
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language of work or name
English
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publication date
2005
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published in
BMC Cancer
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volume
5
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page(s)
83
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issue
1
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exact match
https://scigraph.springernature.com/pub.10.1186/1471-2407-5-83
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cites work
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1 reference
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PubMed Central
reference URL
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28 September 2017
Serum protein profiles to identify head and neck cancer.
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28 September 2017
Serum diagnosis of pancreatic adenocarcinoma using surface-enhanced laser desorption and ionization mass spectrometry.
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28 September 2017
Proteomic analysis of lung biopsies: Differential protein expression profile between peritumoral and tumoral tissue.
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PubMed Central
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28 September 2017
Development of proteomic patterns for detecting lung cancer.
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reference URL
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28 September 2017
Multidisciplinary management of lung cancer.
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PubMed Central
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28 September 2017
Normal, benign, preneoplastic, and malignant prostate cells have distinct protein expression profiles resolved by surface enhanced laser desorption/ionization mass spectrometry.
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Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men.
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Identification of hepatocarcinoma-intestine-pancreas/pancreatitis-associated protein I as a biomarker for pancreatic ductal adenocarcinoma by protein biochip technology.
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Use of proteomic patterns in serum to identify ovarian cancer.
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Development of a novel proteomic approach for the detection of transitional cell carcinoma of the bladder in urine
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Lung cancer screening with CT: Mayo Clinic experience.
1 reference
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Crossref
reference URL
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retrieved
21 January 2018
Identifiers
DOI
10.1186/1471-2407-5-83
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
1243372
Dimensions Publication ID
1050699031
0 references
OpenCitations bibliographic resource ID
1243372
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
1243372
PMCID
1183195
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
1243372
PubMed ID
16029516
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
1243372
ResearchGate publication ID
7714578
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