DUBLIN–(Business Wire)–
Research and Markets
(http://www.researchandmarkets.com/research/64f018/bioinformatics_and) has
announced the addition of John Wiley and Sons Ltd’s new book “Bioinformatics and
Biomarker Discovery: “Omic” Data Analysis for Personalized Medicine” to their
offering.
This book is designed to introduce biologists, clinicians and computational
researchers to fundamental data analysis principles, techniques and tools for
supporting the discovery of biomarkers and the implementation of
diagnostic/prognostic systems. The focus of the book is on how fundamental
statistical and data mining approaches can support biomarker discovery and
evaluation, emphasising applications based on different types of “omic” data.
The book also discusses design factors, requirements and techniques for disease
screening, diagnostic and prognostic applications.
Readers are provided with the knowledge needed to assess the requirements,
computational approaches and outputs in disease biomarker research. Commentaries
from guest experts are also included, containing detailed discussions of
methodologies and applications based on specific types of “omic” data, as well
as their integration. Covers the main range of data sources currently used for
biomarker discovery
* Covers the main range of data sources currently used for biomarker discovery
* Puts emphasis on concepts, design principles and methodologies that can be
extended or tailored to more specific applications
* Offers principles and methods for assessing the bioinformatic/biostatistic
limitations, strengths and challenges in biomarker discovery studies
* Discusses systems biology approaches and applications
* Includes expert chapter commentaries to further discuss relevance of
techniques, summarize biological/clinical implications and provide alternative
interpretations
A research-level book, which will introduce biologists and cardiologists to
fundamental data analysis principles, techniques and tools for supporting the
discovery of biomarkers and diagnostic/prognostic prediction systems. The book
can, however, also be used by computational biologists and bioinformaticians
doing research in cardiovascular research.
The focus will be on how fundamental statistical and data mining approaches can
be used to support biomarker discovery and evaluation. It will emphasize
applications using cardiovascular omic data and discuss design factors,
requirements and techniques for disease screening, diagnostic and prognostic
applications.
The book will consist of foundation chapters, which will provide readers with
the knowledge needed to assess the requirements, design factors and outputs of
disease biomarker research. These will be followed by detailed discussions of
methodologies and applications based on specific types of omic data, as well as
their integration. Such chapters will reflect the how and what aspects of these
research areas. Concluding chapters will focus on the critical assessment of
current knowledge gaps, bioinformatic challenges and emerging research
directions. This will underscore the why and when aspects of problems and
applications.
Key Topics Covered:
1 Biomarkers and bioinformatics
2 Review of fundamental statistical concepts
3 Biomarker-based prediction models: design and interpretation principles
4 An introduction to the discovery and analysis of genotype-phenotype
associations
5 Biomarkers and gene expression data analysis
6 Proteomics and metabolomics for biomarker discovery: an introduction to
spectral data analysis
7 Disease biomarkers and biological interaction networks
8 Integrative data analysis for biomarker discovery
9 Information resources and software tools for biomarker discovery
10 Challenges and research directions in bioinformatics and biomarker discovery
Guest commentary (2) on chapter 10: Accompanying commentary on challenges and
opportunities of bioinformatics in disease biomarker discovery Gary B. Fogel
Author:
Dr. Francisco Azuaje Research Scientist in Computational Biology Laboratory of
Cardiovascular Research Centre for Public Health (CRP-Sant), Luxembourg
For more information visit
http://www.researchandmarkets.com/research/64f018/bioinformatics_and
Research and Markets
Laura Wood, Senior Manager,
press@researchandmarkets.com
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