Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data (Q24798791)

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Language	Label	Description	Also known as
English	Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data	scientific article

Statements

instance of

scholarly article

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title

Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data (English)

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main subject

ovarian cancer

1 reference

based on heuristic

inferred from title

decision-tree classification

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based on heuristic

inferred from title

author

Antonia Vlahou

object named as

Antonia Vlahou

series ordinal

1

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author name string

John O. Schorge

series ordinal

2

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Betsy W. Gregory

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3

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Robert L. Coleman

series ordinal

4

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language of work or name

English

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based on heuristic

inferred from title

publication date

2003

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published in

Journal of Biomedicine and Biotechnology

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volume

2003

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issue

5

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page(s)

308-314

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copyright license

Creative Commons Attribution 3.0 Unported

start time

1 January 2003

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stated in

April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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PubMed Central

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Proteinchip(R) surface enhanced laser desorption/ionization (SELDI) mass spectrometry: a novel protein biochip technology for detection of prostate cancer biomarkers in complex protein mixtures

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7 April 2017

Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer

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A Novel Approach Toward Development of a Rapid Blood Test for Breast Cancer

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28 September 2017

SELDI proteinchip MS: a platform for biomarker discovery and cancer diagnosis

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28 September 2017

Boosted decision tree analysis of surface-enhanced laser desorption/ionization mass spectral serum profiles discriminates prostate cancer from noncancer patients.

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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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28 September 2017

Use of proteomic patterns in serum to identify ovarian cancer

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Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: potential for new biomarkers to aid in the diagnosis of breast cancer

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28 September 2017

Proteomic analysis and identification of new biomarkers and therapeutic targets for invasive 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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28 September 2017

Screening for ovarian cancer: what we know, what we need to know

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28 September 2017

Ovarian cancer: epidemiology, biology, and prognostic factors

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28 September 2017

Recent advancements in surface-enhanced laser desorption/ionization-time of flight-mass spectrometry

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28 September 2017

Recent developments in ovarian cancer screening

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28 September 2017

Identification of gel-separated tumor marker proteins by mass spectrometry

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Elevated levels of abnormally-fucosylated haptoglobins in cancer sera

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28 September 2017

Phenotypic analysis of ovarian carcinoma: polypeptide expression in benign, borderline and malignant tumors

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reference URL

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retrieved

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

DOI

10.1155/S1110724303210032

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PMC publication ID

521504

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PubMed publication ID

14688417

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ResearchGate publication ID

26396947

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