High-Dimensional Data Analysis in Cancer Research

• 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: Medicine.; Cancer research.; Human genetics.; Laboratory medicine.; Medical microbiology.; Molecular biology.; Neurosciences.; Biomedicine.; Cancer Research.; Laboratory Medicine.; Human Genetics.; Medical Microbiology.; Molecular Medicine.

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...