The Applications of Bioinformatics in Cancer Detection (Annals of the New York Academy of Sciences)

The result of a workshop in August 2002, these papers present recommendations for developing, designing, and implementing bioinformatic approaches to cancer prevention, risk identification, risk assessment, and risk reduction. They emphasize the need for synthesis among the many disciplines that constitute bioinformatics. Topics include the applications of bioinformatics in cancer detection and commonly used methods, genomics and proteomics in analyzing data for early cancer detection and classification, and bioinformatics in drug research, including the application of machine learning. Annotation 2004 Book News, Inc., Portland, OR