{"title":"Review of \"Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications\" (Hu, X. and Pan, Y., Eds.; 2007) [Book Reviews]","authors":"P. King, Neal Sanders","doi":"10.1109/MEMB.2007.911410","DOIUrl":null,"url":null,"abstract":"This book, part of the Wiley series on Bioinformatics: Computational Techniques and Engineering, includes 16 chapters and 355 pages. It has extensive references on each chapter and an overall index. More than 50 authors contribute to the text, which is largely written as a series of research papers that are combined in book format. There are chapters on protein secondary-structure prediction, protein-protein interaction, protein identification, RNA secondary structure visualization, drug activity comparisons, cancer classification with microarray data, and cancer survival based on gene expression data. Other topics covered include data representation, storage, and access; text mining; and cluster analysis. The book is well written and edited. It is a worthwhile read for any bioinformatician and fulfills its stated objective of presenting cutting-edge research topics.","PeriodicalId":50391,"journal":{"name":"IEEE Engineering in Medicine and Biology Magazine","volume":"27 1","pages":"84-84"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MEMB.2007.911410","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Engineering in Medicine and Biology Magazine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMB.2007.911410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This book, part of the Wiley series on Bioinformatics: Computational Techniques and Engineering, includes 16 chapters and 355 pages. It has extensive references on each chapter and an overall index. More than 50 authors contribute to the text, which is largely written as a series of research papers that are combined in book format. There are chapters on protein secondary-structure prediction, protein-protein interaction, protein identification, RNA secondary structure visualization, drug activity comparisons, cancer classification with microarray data, and cancer survival based on gene expression data. Other topics covered include data representation, storage, and access; text mining; and cluster analysis. The book is well written and edited. It is a worthwhile read for any bioinformatician and fulfills its stated objective of presenting cutting-edge research topics.