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The Applications of Bioinformatics in Cancer Detection

Edited by Edited by Asad Umar (National Cancer Institute, NIH, Rockville, Maryland), Izet M. Kapetanovic (National Cancer Institute, NIH, Rockville Maryland), and Javed Khan (National Cancer Institute, NIH, Gaithersburg, Maryland)
The Applications of Bioinformatics in Cancer Detection

Published: May 2004

Volume 1020

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Talk about \"data sets\" is increasing rapidly among biologists, who are now generating data in quantities that demand the use of computational statistics and algorithms as tools for analysis.The state of the science of bioinformatics — that is, application of computer processes to solving biological problems — and its potential for assisting early cancer detection, risk assessment, and risk reduction form the focus of this volume. Specifically, this includes: (1) evaluation of the applicability of different artificial intelligence and machine learning tools in data mining relating to cancer prevention; (2) discussion of the tools for retrieving, visualizing, and analyzing data; (3) identifying the usefulness of different bioinformatics tools in assessing cancer risk; (4) defining areas of bioinformatics that need further refinement or development; (5) considering tools that enable scientists to perform in silico experiments and test them in the laboratory; and (6) translation of techniques from a research to a clinical setting.