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 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.
- National Institute of Health
By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive. This booklet introduces you to just some of the ways that biologists are computing life.
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.