Data Mining in Medical and Biological Research
by Eugenia G. Giannopoulou
Publisher: InTech 2008
Number of pages: 320
This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It consists of seventeen chapters, twelve related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results.
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by Luke L. M. Heaton, at al. - arXiv
We present an algorithm for calculating the exact concentration of resource at any point in space or time, given that the resource in the network is lost or delivered out of the network at a given rate, while being subject to advection and diffusion.
by Ramaswamy Palaniappan - BookBoon
This book covers biological signals and digital signal analysis techniques such as conditioning, filtering, feature extraction, classification and statistical validation for solving practical biological signal analysis problems using MATLAB.
by Sabu M. Thampi - arXiv
Bioinformatics is a new discipline that addresses the need to manage and interpret the data that was massively generated by genomic research. This discipline represents the convergence of genomics, biotechnology and information technology.
by Arthur Gruber, et al. - National Center for Biotechnology Information
This book is intended to serve both as a textbook for bioinformatics courses and as a base for self-teaching. Each chapter addresses a specific problem in bioinformatics and consists of a theoretical part and a tutorial with practical applications.