Anda belum login :: 23 Nov 2024 21:58 WIB
Home
|
Logon
Hidden
»
Administration
»
Collection Detail
Detail
DNA Microarrays and Computational Analysis of DNA Microarray Data in Cancer Research (chapter in Molecular Carcinogenesis and the Molecular Biology of Human Cancer)
Bibliografi
Author:
Medvedovic, Mario
;
Wiest, Jonathan
Topik:
DNA Microarrays
;
Cancer Research
Bahasa:
(ID )
Tahun Terbit:
0
Jenis:
Article - Untuk Buku
Fulltext:
DNAMicroarraysAndComputationalAnalysisOfDNAMicroarrayDataInCancerRes.pdf
(414.76KB;
0 download
)
[
Informasi yang berkaitan dengan koleksi ini di internet
]
Abstract
The advent of DNA microarray technology has added a new dimension to the field of molecular carcinogenesis research. DNA microarrays have been used as a tool for identifying changes in gene expression and genomic alterations that are attributable to various stages of tumor development. Patterns defined by expression levels of multiple genes across different types of cancerous and normal tissue samples have been used to examine relationships between different genes, and as the tool for molecular classification of different types of tumor. The analysis of relatively large datasets generated in a typical microarray experiment generally requires at least some level of computer-aided automation. On the other hand, the large number of hypotheses that are implicitly tested during the data analysis, especially when identifying patterns of expression through supervised and unsupervised learning approaches, require careful assessment of statistical significance of obtained results. These basic requirements have brought to the fore front the need for developing statistical models and corresponding computational tools that are specifically tailored for the analysis of microarray data. Such models need to be able to differentiate between faint, yet statistically significant and biologically important signals, and patterns that are generated by random fluctuations in the data. In this endeavor, it is important to keep in mind the abundance of already existing statistical and machine learning methodologies which can serve as the starting point for developing more specialized techniques. Here we describe different uses of DNA microarray technology in molecular carcinogenesis research and related methodological approaches for analyzing and interpreting DNA microarray data obtained in such experiments.
Opini Anda
Klik untuk menuliskan opini Anda tentang koleksi ini!
Lihat Sejarah Pengadaan
Konversi Metadata
Kembali
Process time: 0.125 second(s)