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Statistical design and analytical strategies for discovery of disease-specific protein patterns

  • Ziding Feng
    ,
  • Yutaka Yasui
    ,
  • Dale McLerran
    ,
  • ,
  • John Semmes
  • Fred Hutchinson Cancer Research Center
    ,
  • Eastern Virginia Medical School
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

The rapid advances in proteome technology offer great opportunities for cancer researchers to find protein biomarkers or protein patterns for early detection of cancer.1 Since many types of cancer are curable if treated early and are incurable at later stages, early detection is an effective way for fighting against cancer.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English (US)

Pages from-to (Number of pages)

Pages 367-390 (24 pages)

Publication milestones

  • Published - 01/01/2005

Publication status

Published - 01/01/2005

Publisher

CRC Press
9781574444803

ISBN (Electronic)

9781420027624

Publication IDs

  • Scopus: 85056054484

Host publication title

Informatics in Proteomics

Publication metrics

Metrics

Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
Author count
5
SciVal
Paper percentile
26