Titlebook: Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases; Bairong Shen Book 2013 Springer Science+Business Media Dordrech

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https://doi.org/10.1007/978-3-8349-9064-8structured biomedical is a difficult problem in front of us, which calls for biomedical text mining techniques aiming at extracting novel knowledge from scientific texts. In this chapter, we will introduce basis of text mining and examine some frequently used algorithms, tools, and data sets. With t

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https://doi.org/10.1007/978-3-8350-9355-3enue for the discovery of novel biomarkers for early detection, diagnosis and prognosis, as well as offering novel therapeutic opportunities. However, the biological interpretation and functional significance of the epigenetic changes in cancer is still unclear. This chapter describes an emerging co

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Key account management controlling,t role in almost all aspects of biological processes, and aberrances in the conjugation systems are highly involved in numerous complex diseases. Identification of the Ub/UBL-associated enzymes, substrates and sites is fundamental for understanding the molecular mechanisms of Ub/UBL conjugations, an

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Key account management controlling,ndpoints, surrogate endpoints, and particular indicator that respond to drug therapy. The rapid development of high-throughput technologies has facilitated the identification of new biomarkers at different systems levels. In this chapter, we will focus on the recent advance in identifying biomarkers

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Key account management controlling,ely identifying biomarkers for prostate cancer using whole-genome expression profiling along with proteomic technologies. Although there has been some success in this field, many efforts have been complicated by the fact that individual markers are highly divergent. Prostate cancer is a systems biol