eBook Big Data Analytics in Bioinformatics and Healthcare, 1st Edition

  • Baoying Wang
  • Published By:
  • ISBN-10: 1466666129
  • ISBN-13: 9781466666122
  • DDC: 610.285
  • Grade Level Range: College Freshman - College Senior
  • 459 Pages | eBook
  • Original Copyright 2015 | Published/Released December 2015
  • This publication's content originally published in print form: 2015
  • Price:  Sign in for price



As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Bioinformatics and Biomedical Engineering (ABBE) Book Series.
Titles in this Series.
Other Frontmatter.
Table of Contents.
Detailed Table of Contents.
Big Data Analysis Methods and Applications.
1: Advanced Datamining Using RNAseq Data.
2: Text Mining on Big and Complex Biomedical Literature.
3: Interactive Data Visualization Techniques Applied to Healthcare Decision Making.
4: Large-Scale Regulatory Network Analysis from Microarray Data: Application to Seed Biology.
5: Detection and Employment of Biological Sequence Motifs.
6: Observer-Biased Analysis of Gene Expression Profiles.
7: Heuristic Principal Component Analysis-Based Unsupervised Feature Extraction and Its Application to Bioinformatics.
Reviews and Perspectives on Big Data Analysis.
8: The Role of Big Data in Radiation Oncology: Challenges and Potentials.
9: Analysis of Genomic Data in a Cloud Computing Environment.
10: Pathway Analysis and Its Applications.
11: Computational Systems Biology Perspective on Tuberculosis in Big Data Era: Challenges and Future Goals.
12: Bioinformatics-Driven Big Data Analytics in Microbial Research.
13: Perspectives on Data Integration in Human Complex Disease Analysis.
14: Current Study Designs, Methods, and Future Directions of Genetic Association Mapping.
15: Personalized Disease Phenotypes from Massive OMICs Data.
Issues and Concerns in the Big Data Era.
16: Intellectual Property Protection for Synthetic Biology, Including Bioinformatics and Computational Intelligence.
17: Clinical Data Linkages in Spinal Cord Injuries (SCI) in Australia: What Are the Concerns?.
18: The Benefits of Big Data Analytics in the Healthcare Sector: What Are They and Who Benefits?.
Compilation of References.
About the Contributors.