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Titlebook: Biomedical Informatics for Cancer Research; Michael F. Ochs,John T. Casagrande,Ramana V. Davul Book 2010 Springer Science+Business Media,

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發(fā)表于 2025-3-21 19:34:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Biomedical Informatics for Cancer Research
影響因子2023Michael F. Ochs,John T. Casagrande,Ramana V. Davul
視頻videohttp://file.papertrans.cn/189/188067/188067.mp4
發(fā)行地址Includes supplementary material:
圖書封面Titlebook: Biomedical Informatics for Cancer Research;  Michael F. Ochs,John T. Casagrande,Ramana V. Davul Book 2010 Springer Science+Business Media,
影響因子view, showing that multiple molecular pathways must be affected for cancer to develop, but with different specific proteins in each pathway mutated or differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleterious subset of aberrant proteins, since any tre- ment must aim to improve health to justify its potential side effects. Treatment for cancer must become highly individualized, focusing on the specific aberrant driver proteins in an individual. This drives a need for informatics in cancer far beyond the need in other diseases. For instance, routine treatment with statins has become widespread for minimizing heart disease, with most patients responding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the a
Pindex Book 2010
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Book 2010 differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleter
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to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the a978-1-4899-8451-7978-1-4419-5714-6
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Book 2010ding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the a
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Reproducible Research Concepts and Tools for Cancer Bioinformatics
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The Cancer Biomedical Informatics Grid (caBIG?): An Evolving Community for Cancer Research
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