03460nam 2200661 450 991045363630332120200520144314.0981-4551-01-5(CKB)2550000001191462(EBL)3051317(OCoLC)922951932(SSID)ssj0001039941(PQKBManifestationID)12468532(PQKBTitleCode)TC0001039941(PQKBWorkID)10990325(PQKB)10231415(MiAaPQ)EBC3051317(WSP)00008898(Au-PeEL)EBL3051317(CaPaEBR)ebr10832713(CaONFJC)MIL570885(EXLCZ)99255000000119146220130917h20142014 uy| 0engur|n|---|||||txtccrBiological data mining and its applications in healthcare /editors, Xiaoli Li (A*STAR, Singapore & Nanyang Technological University, Singapore), See-Kiong Ng (A*STAR, Singapore), Jason T.L. Wang (New Jersey Institute of Technology, USA)New Jersey :World Scientific,[2014]©20141 online resource (437 p.)Science, engineering, and biology infomatics ;volume 8Description based upon print version of record.981-4551-00-7 1-306-39634-4 Includes bibliographical references and index.part I. Sequence analysis -- part II. Biological network mining -- part III. Classification, trend analysis and 3D medical images -- part IV. Text mining and its biomedical applications.Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.Science, engineering, and biology infomatics ;v. 8.Medical informaticsBioinformaticsData miningElectronic books.Medical informatics.Bioinformatics.Data mining.610.285Li Xiao-Li1969-941637Ng See-Kiong941638Wang Jason T. L931445MiAaPQMiAaPQMiAaPQBOOK9910453636303321Biological data mining and its applications in healthcare2124216UNINA