Classification of cancer cell lines using an automated two-dimensional liquid mapping method with hierarchical clustering techniques. (Q33222790)

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6 January 2020

title

Classification of cancer cell lines using an automated two-dimensional liquid mapping method with hierarchical clustering techniques (English)

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6 January 2020

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hierarchical clustering

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3

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6 January 2020

author name string

Yanfei Wang

1

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6 January 2020

Rong Wu

2

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6 January 2020

Kerby A Shedden

4

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6 January 2020

Timothy J Barder

5

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6 January 2020

David M Lubman

6

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publication date

2 September 2005

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Molecular & Cellular Proteomics

6 January 2020

published in

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6 January 2020

volume

5

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6 January 2020

issue

1

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6 January 2020

page(s)

43-52

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

6 January 2020

cites work

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A 2-D liquid separations/mass mapping method for interlysate comparison of ovarian cancers

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High Sequence Coverage of Proteins Isolated from Liquid Separations of Breast Cancer Cells Using Capillary Electrophoresis-Time-of-Flight MS and MALDI-TOF MS Mapping

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Characterization of an ovarian carcinoma cell line

21 January 2018

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Characterization of four novel epithelial ovarian cancer cell lines.

21 January 2018

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Malignant MCF10CA1 cell lines derived from premalignant human breast epithelial MCF10AT cells.

21 January 2018

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Comprehensive proteome analysis of ovarian cancers using liquid phase separation, mass mapping and tandem mass spectrometry: a strategy for identification of candidate cancer biomarkers.

21 January 2018

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Correlation between protein and mRNA abundance in yeast

21 January 2018

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10.1074/MCP.T500023-MCP200

21 January 2018

Identifiers

DOI

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6 January 2020

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