Cancer Informatics in Post-Genomic Era provides both the
necessary methodology and practical information tools for analyzing
data in the field of medical information science. This, of course,
requires analytic tools. Those tools are garnered by developing and
assessing methods and systems for the acquisition, processing, and
interpretation of patient data, aided by scientific discovery. Key
challenges in this field include integrating research and clinical
care, sharing data, and establishing partnerships within and across
sectors of patient diagnosis and treatment.
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