Name: Comparing Clustering Algorithms for Use with Genomic and Proteomic Data (en Inglés)
SKU: 59832971
Price: 34.67 USD
Availability: InStock
Author: Olson, Rebecca Ann
ISBN: 9781288405336

portada Comparing Clustering Algorithms for Use with Genomic and Proteomic Data (en Inglés)

Comparing Clustering Algorithms for Use with Genomic and Proteomic Data (en Inglés)

Formato

Libro Físico

Autor

Rebecca Ann Olson

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6x18.9x0.4 cm

Peso

0.15 kg.

ISBN13

9781288405336

Categorías

Educación

Comparing Clustering Algorithms for Use with Genomic and Proteomic Data (en Inglés)

Rebecca Ann Olson (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "Comparing Clustering Algorithms for Use with Genomic and Proteomic Data (en Inglés)"

The Human Genome Project and related projects have resulted in the development of a number of new experimental and analytic tools for use in genomic and proteomic research. In the area of toxicogenomics, researchers are concerned with how genes react to exposure to certain chemicals. The United States Air Force is interested in the effect of exposure to mission-essential chemicals. Although military personnel may come into contact with chemicals such as hydrazine, risk assessment is usually very limited. On the genomic level, risk assessment is a multi-step and multi-disciplinary process. The process begins with an experiment that exposes cells to the chemical. Data from the experiment are obtained using gene chips. The data can then be analyzed. This research explores the methods of pre-processing and analyzing data. Several different data sets are used to compare the effectiveness of various clustering algorithms and their implementations. Genomic and proteomic data obtained from a hydrazine exposure experiment are then analyzed. A relationship is established between the genomic and proteomic data sets and is used in further analyses.