Biomedical literature mining / [Book] edited by Vinod D. Kumar, Hannah Jane Tipney.

By:

Kumar, Vinod D

Contributor(s):

Material type: Text

TextSeries: Publication details: New York : Humana Press, c2014.Description: xii, 288 pages : illustrations (some colors) ; 26 cmISBN:

9781493907083 (hardback)
1493907085 (alk. paper)
9781493907090 (ebook)

Subject(s):

DDC classification:

570.285 23

Other classification:

570.285

Summary: Biomedical Literature Mining, discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Biomedical Literature Mining is designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in or entirely new to, the field.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	570.285 KUM-B (Browse shelf(Opens below))	Available		55589

Total holds: 0

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Previous	570.285 KRA-F Fundamental concepts of bioinformatics	570.285 KRA-F Fundamental concepts of bioinformatics	570.285 KRA-F Fundamental concepts of bioinformatics	570.285 KUM-B Biomedical literature mining /	570.285 KUP-B Bioinformatics algorithms	570.285 LES-I 63431 Introduction to bioinformatics /	570.285 MAZ-S Myths and legends	Next

Biomedical Literature Mining, discusses the multiple facets of modern biomedical literature mining and its many applications in genomics and systems biology. The volume is divided into three sections focusing on information retrieval, integrated text-mining approaches and domain-specific mining methods. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Biomedical Literature Mining is designed as a useful bioinformatics resource in biomedical literature text mining for both those long experienced in or entirely new to, the field.

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