Biological Data Mining PDF Download
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| Author | : Jake Y. Chen |
| Publisher | : CRC Press |
| Total Pages | : 736 |
| Release | : 2009-09-01 |
| Genre | : Computers |
| ISBN | : 1420086855 |
Download Biological Data Mining Book in PDF, ePub and Kindle
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin
| Author | : Xiaoli Li |
| Publisher | : World Scientific |
| Total Pages | : 437 |
| Release | : 2013-11-28 |
| Genre | : Science |
| ISBN | : 9814551023 |
Download Biological Data Mining And Its Applications In Healthcare Book in PDF, ePub and Kindle
Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.
| Author | : Jason T. L. Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 356 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9781852336714 |
Download Data Mining in Bioinformatics Book in PDF, ePub and Kindle
Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.
| Author | : Hiroshi Mamitsuka |
| Publisher | : Humana |
| Total Pages | : 243 |
| Release | : 2019-08-04 |
| Genre | : Science |
| ISBN | : 9781493993260 |
Download Data Mining for Systems Biology Book in PDF, ePub and Kindle
This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.
| Author | : Mourad Elloumi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1126 |
| Release | : 2015-02-04 |
| Genre | : Computers |
| ISBN | : 1118853725 |
Download Biological Knowledge Discovery Handbook Book in PDF, ePub and Kindle
The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD) providing in-depth fundamental and technical field information on the most important topics encountered. Written by top experts, Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data covers the three main phases of knowledge discovery (data preprocessing, data processing also known as data mining and data postprocessing) and analyzes both verification systems and discovery systems. BIOLOGICAL DATA PREPROCESSING Part A: Biological Data Management Part B: Biological Data Modeling Part C: Biological Feature Extraction Part D Biological Feature Selection BIOLOGICAL DATA MINING Part E: Regression Analysis of Biological Data Part F Biological Data Clustering Part G: Biological Data Classification Part H: Association Rules Learning from Biological Data Part I: Text Mining and Application to Biological Data Part J: High-Performance Computing for Biological Data Mining Combining sound theory with practical applications in molecular biology, Biological Knowledge Discovery Handbook is ideal for courses in bioinformatics and biological KDD as well as for practitioners and professional researchers in computer science, life science, and mathematics.
| Author | : Sumeet Dua |
| Publisher | : CRC Press |
| Total Pages | : 351 |
| Release | : 2012-11-06 |
| Genre | : Computers |
| ISBN | : 1466588667 |
Download Data Mining for Bioinformatics Book in PDF, ePub and Kindle
Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to he
| Author | : Eugenia Giannopoulou |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 334 |
| Release | : 2008-11-01 |
| Genre | : Medical |
| ISBN | : 9537619303 |
Download Data Mining in Medical and Biological Research Book in PDF, ePub and Kindle
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. We hope that the readers will benefit from this book and consider it as an excellent way to keep pace with the vast and diverse advances of new research efforts.
| Author | : He Zengyou |
| Publisher | : Woodhead Publishing |
| Total Pages | : 100 |
| Release | : 2015-06-09 |
| Genre | : Computers |
| ISBN | : 008100107X |
Download Data Mining for Bioinformatics Applications Book in PDF, ePub and Kindle
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation. Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems Contains 45 bioinformatics problems that have been investigated in recent research
| Author | : Stephen T. C. Wong |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 392 |
| Release | : 2006 |
| Genre | : Computers |
| ISBN | : |
Download Life Science Data Mining Book in PDF, ePub and Kindle
This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.The cutting-edge topics presented include bio-surveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macro-scale bio-surveillance and environmental data with micro-scale biological data for personalized medicine. This collection of works from leading researchers in the field offers readers an exceptional start in these areas.
| Author | : Hui-Huang Hsu |
| Publisher | : IGI Global |
| Total Pages | : 343 |
| Release | : 2006-01-01 |
| Genre | : Computers |
| ISBN | : 1591408636 |
Download Advanced Data Mining Technologies in Bioinformatics Book in PDF, ePub and Kindle
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided by publisher.
