Handbook Of Cancer Models With Applications

Twenty-eight American and European experts in cancer modeling contribute 18 chapters reviewing the most recent and advanced cancer models and their applications. Chapters focusing on cancer models cover oncogenetic trees, stochastic multi-state models of carcinogenesis, models of cancer metastasis, cell cycle regulation by radiation, genomic instability, DNA damage and repair, bystander effects of radiation, epigenetic hypotheses, multiple pathways of colon cancer, and the most recent discoveries in cancer biology and how they are transformed into stochastic models of carcinogenesis. The applications chapters cover bladder cancer screening by MRI, models of drug resistance in cancer chemotherapy, applications of stochastic and state space models to the assessment of cancer risks associated with environmental agents, applications of wavelets to proteomics, design and analysis of tumor xenograft experiments, and analysis of occult tumor trial data. For scientists in cancer research, biomathematics, biostatistics and bioinformatics; biologists; cancer epidemiologists; clinical investigators; medical doctors; and graduate students and their instructors. Annotation c2009 Book News, Inc., Portland, OR (booknews.com)