It takes the average reader 7 hours and 42 minutes to read Integrative Cluster Analysis in Bioinformatics by Basel Abu-Jamous
Assuming a reading speed of 250 words per minute. Learn more
Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets
Integrative Cluster Analysis in Bioinformatics by Basel Abu-Jamous is 448 pages long, and a total of 115,584 words.
This makes it 151% the length of the average book. It also has 141% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 10 hours and 31 minutes to read Integrative Cluster Analysis in Bioinformatics aloud.
Integrative Cluster Analysis in Bioinformatics is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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