Biomedical Text Mining (1st ed. 2022)

This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery, protocols to combine literature mining, machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importance of data science to understand outbreaks such as COVID-19.   Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.   Authoritative and cutting-edge, Biomedical Text Mining aims to be a useful practical guide to researches to help further their studies.          

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Methods in Molecular Biology, 2496
Release date:	June 2023
First published:	2022
Editors:	Kalpana Raja
Dimensions:	254 x 178mm (L x W)
Pages:	321
Edition:	1st ed. 2022
ISBN-13:	978-1-07-162307-7
Categories:	Books
LSN:	1-07-162307-9
Barcode:	9781071623077

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