Biomedical text mining

by Raja, Kalpana

Type Book

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Title Statements

Full title :Biomedical text mining / edited by Kalpana Raja.

Summary

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, 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.

Edition Statements

Publication Date:2022.

Publication Statements

Publisher(s):Humana Press
Place of Publication:New York, NY
Language:eng
Publication Date:2022.

Notes

Includes index.

The Physical Object

Description:1 online resource (xi, 321 pages) : : illustrations (some color).

Edition Identifiers

ISBN:9781071623053, 1071623052
DOI:10.1007/978-1-0716-2305-3
oclc:on1331438697
LC Classification:QA76.9.D343
Dewey Decimal:006.3/12

Biomedical literature mining and its components -- Text mining protocol to retrieve significant drug-gene interactions from PubMed abstracts -- A hybrid protocol for finding novel gene targets for various diseases using microarray expression data analysis and text mining -- Finding gene associations by text mining and annotating it with Gene Ontology -- Biomedical literature mining for repurposing laboratory tests -- A simple computational approach to identify potential drugs for multiple sclerosis and cognitive disorders from expert curated resources -- Combining literature mining and machine learning for predicting biomedical discoveries -- A Text Mining Protocol for Mining Biological Pathways and Regulatory Networks from Biomedical Literature -- Text mining and machine learning protocol for extracting human related protein phosphorylation information from PubMed -- A text mining and machine learning protocol for extracting post translational modifications of proteins from PubMed: A special focus on glycosylation, acetylation, methylation, hydroxylation, and ubiquitination -- A hybrid protocol for identifying comorbidity-based potential drugs for COVID-19 using biomedical litera…