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
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 PressISBN (Print)
9781574444803ISBN (Electronic)
9781420027624Publication IDs
- Scopus: 85056054484
Host publication title
Informatics in ProteomicsPublication metrics
Metrics
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1
SciVal
Author count
5
SciVal
Paper percentile
26
PlumX, opens in new tab
Citation count
1
