Titlebook: Biomedical Text Mining; Kalpana Raja Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Scienc

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https://doi.org/10.1007/978-3-662-43301-0ition and expertise. Furthermore, not all hypothesized markers will be borne out in a study, suggesting that high-quality initial hypotheses are crucial. In this chapter, we describe a high-throughput pipeline to produce a ranked list of high-quality hypothesized biomarkers for diseases. We review a

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https://doi.org/10.1007/978-3-662-43288-4assembly of new molecules by series of actions among the molecules. There are three important pathways in system biology studies namely signaling pathways, metabolic pathways, and genetic pathways (or) gene regulatory networks. Recently, biological pathway construction from scientific literature is

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Leitf?higkeit nichtw?sseriger L?sungented approaches to process a huge volume of data on proteins and their modifications at the cellular level. The data generated at the cellular level is unique as well as arbitrary, and an accumulation of massive volume of information is inevitable. Biological research has revealed that a huge array o

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Leitf?higkeit nichtw?sseriger L?sungenion. Hundreds of PTMs act in a human cell. Among?them, only the selected PTMs are well established and documented. PubMed includes thousands of papers on the selected PTMs, and it is a challenge for the biomedical researchers to assimilate useful information manually. Alternatively, text mining appr

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