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 Katja Schuerer, Catherine Letondal - Pasteur Institute
This course is designed for biologists who already have some programming knowledge in other languages. The focus is on biological examples that are used throughout the course, as well as the suggested exercises drawn from the field of biology.
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 Yasuhiro Suzuki, Toshiyuki Nakagaki - Springer
This volume covers various aspects of natural computing, ranging from computing with slime mold, artificial chemistry, eco-physics, and synthetic biology, to computational aesthetics. (Proceedings in Information and Communications Technology)
by Karol Kozak - BookBoon
This book is for scientists and students who are learning computational approaches to biology. It covers the data storage system, computational approaches to biological problems, workflow systems, data mining, data visualization, and more.