Computational Methods with Applications in Bioinformatics Analysis
β Scribed by Jeffrey J. P. Tsai, Jeffrey J. P. Tsai, Ka-log Ng
- Publisher
- World Scientific
- Year
- 2017
- Tongue
- English
- Leaves
- 233
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Networks;Networks, Protocols & APIs;Networking & Cloud Computing;Computers & Technology;Biomedical Engineering;Bioengineering;Engineering;Engineering & Transportation;Bioinformatics;Biological Sciences;Science & Math;Biology;Cell Biology;Developmental Biology;Entomology;Marine Biology;Microbiology;Molecular Biology;Biostatistics;Biological Sciences;Science & Math;Medical Informatics;Computer Science;Algorithms;Artificial Intelligence;Database Storage & Design;Graphics & Visualization;Networking;
π SIMILAR VOLUMES
<b>COMPUTATION IN BIOINFORMATICS</b> <p><b>Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design.</b> </p><p>The discovery of new solutions to pandemics is facilitated thr
<P>This book presents a collection of fifteen high quality selected papers from the 2007 edition of the ECCOMAS Thematic Conference in Multibody Dynamics, which was held June 25-28 at the Politecnico di Milano, in Milan, Italy. </P> <P>The purpose of this collection is to provide the international
<p>Probability has been an important part of mathematics for more than three centuries. Moreover, its importance has grown in recent decades, since the computing power now widely available has allowed probabilistic and stochastic techniques to attack problems such as speech and image processing, geo
<p>Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods
<p>Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods