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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,Text Mining Protocol to Retrieve Significant Drug–Gene Interactions from PubMed Abstracts,st biomedical literature, text mining also seems to be an obvious choice which could efficiently aid with other computational methods in identifying drug–gene targets. These could aid in initial stages of reviewing the disease components or can even aid parallel in extracting drug–disease–gene/prote

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Text Mining and Machine Learning Protocol for Extracting Human-Related Protein Phosphorylation Infobiomedical literature databases such as PubMed. This chapter outlines a recent text mining protocol that applies natural language parsing (NLP) for named entity recognition and text processing, and support vector machines (SVM), a machine learning algorithm for classifying the processed text related

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https://doi.org/10.1007/978-3-662-43305-8s subsets of biologists working with genome, proteome, transcriptome, expression, pathway, and so on. This has led to exponential growth in scientific literature which is becoming beyond the means of manual curation and annotation for extracting information of importance. Microarray data are express