High-Dimensional Data Analysis in Cancer Research
With the advent of high-throughput technologies, various types of high-dimensional data have been generated in recent years for the understanding of biological processes, especially processes that relate to disease occurrence or management of cancer. Motivated by these important applications in canc...
| Corporate Author: | SpringerLink (Online service) |
|---|---|
| Other Authors: | Li, Xiaochun (Editor), Xu, Ronghui (Editor) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2009.
|
| Series: | Applied Bioinformatics and Biostatistics in Cancer Research
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Breast Cancer Epidemiology
Published: (2010) -
Modern Molecular Biology Approaches for Unbiased Discovery in Cancer Research /
Published: (2010) -
Genetically Engineered Mice for Cancer Research design, analysis, pathways, validation and pre-clinical testing /
Published: (2012) -
Mitochondria and Cancer
Published: (2009) -
The Cancer Degradome Proteases and Cancer Biology /
Published: (2008)