WorldCat Linked Data Explorer

Turtle N-Triple JSON-LD RDF/XML HTML Contact Us Home

http://worldcat.org/entity/work/id/797253696

Bioinformatics and Biomarker Discovery Omic Data Analysis for Personalized Medicine

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 discoveryulliCovers the main range of data sources currently used for biomarker discoveryliPuts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applicationsliOffers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studiesliDiscusses systems biology approaches and applicationsliIncludes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations/ul.

Open All Close All

type

about

http://schema.org/about

alternateName

http://schema.org/alternateName

  • "Omic data analysis for personalised medicine"

author

contributor

creator

description

http://schema.org/description

  • "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 discoveryulliCovers the main range of data sources currently used for biomarker discoveryliPuts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applicationsliOffers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studiesliDiscusses systems biology approaches and applicationsliIncludes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations/ul."@en
  • "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 w."@en
  • "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."@en

genre

http://schema.org/genre

  • "Electronic books"
  • "Electronic books"@en
  • "Electronic resource"

name

http://schema.org/name

  • "Bioinformatics and Biomarker Discovery Omic Data Analysis for Personalized Medicine"@en
  • "Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine"@en
  • "Bioinformatics and biomarker discovery : "omic" data analysis for personalised medicine"
  • "Bioinformatics and Biomarker Discovery : "Omic" Data Analysis for Personalized Medicine"
  • "Bioinformatics and biomarker discovery : "omic" data analysis for personalized medicine"
  • "Bioinformatics and biomarker discovery : 'omic' data analysis for personalised medicine"
  • "Bioinformatics and biomarker discovery "omic" data analysis for personalized medicine"@en
  • "Bioinformatics and biomarker discovery "omic" data analysis for personalized medicine"
  • "Bioinformatics and Biomarker Discovery "Omic" Data Analysis for Personalized Medicine"
  • "Bioinformatics and biomarker discovery "omic" data analysis for personalised medicine"
  • "Bioinformatics and biomarker discovery "omic" data analysis for personalised medicine"@en

workExample