Learn IT - Books tags bioinformatics

Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Packt Publishing, 2018

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

Perform complex bioinformatics analysis using the most important Python libraries and applications

Implement next-generation sequencing,...

Post-mining of Association Rules: Techniques for Effective Knowledge Extraction

Information Science Publishing, 2009

Since its introduction for market basket analysis in the early 1990s, association rule mining has had a lot of research attention, and it is now widely used in many fields, for example in retail, telecom, insurance, and bioinformatics applications.

One familiar problem encountered in association mining exercises is that they...

Bioinformatics: High Performance Parallel Computer Architectures (Embedded Multi-Core Systems)

CRC Press, 2010

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

Intelligent Complex Adaptive Systems

IGI Global, 2008

I don’t believe in the existence of a complex systems theory as such and, so far, I’m still referring to complex systems science (CSS) in order to describe my research endeavours. In my view, the latter is constituted, up until now, by a bundle of loosely connected methods and theories aiming to observe— from...

Handbook of Educational Data Mining (CRC Data Mining and Knowledge Discovery Series)

CRC Press, 2010

The goal of this book is to provide an overview of the current state of knowledge of educational data mining (EDM). The primary goal of EDM is to use large-scale educational data sets to better understand learning and to provide information about the learning process. Although researchers have been studying human learning for over a...

Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)

Springer, 2004

This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications....

Database Annotation in Molecular Biology: Principles and Practice

John Wiley & Sons, 2005

Two factors dominate current molecular biology: the amount of raw data is increasing very rapidly and successful applications in biomedical research require carefully curated and annotated databases. The quality of the data - especially nucleic acid sequences - is satisfactory; however, annotations depend on features inferred from the data...

Statistical Bioinformatics: with R

Academic Press, 2010

Bioinformatics is an emerging field in which statistical and computational techniques are used extensively to analyze and interpret biological data obtained from high-throughput genomic technologies. Genomic technologies allow us to monitor thousands of biological processes going on inside living organisms in one snapshot, and are...

Bioinformatics: An Introduction (Computational Biology)

Springer, 2009

Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary. This broad-ranging and thoroughly updated second edition covers new findings while retaining the...

Clustering (IEEE Press Series on Computational Intelligence)

John Wiley & Sons, 2008

Clustering has become an increasingly important topic in recent years, caused by the glut of data from a wide variety of disciplines. However, due to the lack of good communication among these communities, similar theories or algorithms are redeveloped many times, causing unnecessary waste of time and resources. Furthermore, different terminologies...

Computer Science: Notable Research and Discoveries (Frontiers of Science)

Facts on File, 2010

No one is certain how much more powerful and possibly intelligent computers will become in the 21st century. Exploring six prominent topics in computer science research, this title describes how computer scientists conduct research and attempt to formulate answers to important questions. Research published in journals, presented at conferences,...

High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Artech House Publishers, 2009

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Result Page: 21 20 19 18 17 16 15 14 13 12 11 10