Perl Programming for Medicine and Biology - Couverture souple

Berman, Jules J.

 
9780763743338: Perl Programming for Medicine and Biology

Synopsis

Written for biomedical professionals and hospital practitioners interested in creating their own programs, Perl Programming for Medicine and Biology, discusses and reviews biomedical data resources, data standards, data organization, medicolegal and ethical conduct for data miners, and grants-related data sharing responsibilities. It teaches readers the basic Perl programming skills necessary for collecting, analyzing, and distributing biomedical data and provides solutions to in-depth problems that face researchers and healthcare professionals.



Non-technical "Background" sections open each chapter to help non-programmers easily comprehend programming procedures. Explanations are provided for the biomedical issues underlying the Perl scripts that follow, and examples of real-world implementation are provided. Perl Programming for Medicine and Biology will show you how to transform, merge, and examine large and complex databases with ease.

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À propos de l?auteur

Jules Berman received his bachelor's degrees in Mathematics and Earth and Planetary Sciences from Massachusetts Institute of Technology, his Ph.D. from Temple University, and his M.D. from the University of Miami. He received post-doctoral training in the Laboratory of Experimental Pathology in the National Cancer Institute, at NIH. He received residency training at the George Washington University Medical Center and is board certified in anatomic pathology and in cytopathology. He served as the chief of anatomic pathology at the VA Hospital in Baltimore where he held adjunct appointments at Johns Hopkins Medical Center and the University of Maryland Medical Center. From 1998 to 2005 he was program director for Pathology Informatics in the Cancer Diagnosis Program at the National Cancer Institute. Jules Berman has first-authored more than 100 publications. He is now a free-lance author and the past President of the Association for Pathology Informatics.

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