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.
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