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|a 047074460X
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|a 1282456601
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| 020 |
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|a 9780470744604
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| 050 |
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4 |
|a R853.B54
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| 100 |
1 |
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|a Azuaje, Francisco
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| 245 |
0 |
0 |
|a Bioinformatics and biomarker discovery
|b "omic" data analysis for personalised medicine
|c Francisco Azuaje
|
| 246 |
3 |
1 |
|a Omic data analysis for personalised medicine
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| 260 |
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|a Chichester, West Sussex, U.K.
|b John Wiley & Sons
|c 2010
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| 300 |
|
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|a 1 volume
|b illustrations
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 505 |
0 |
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|a Biomarkers and bioinformatics -- Review of fundamental statistical concepts -- Biomarker-based prediction models: design and interpretation principles -- An introduction to the discovery and analysis of genotype-phenotype associations -- Integrative approaches to genotype-phenotype association discovery -- Biomarkers and gene expression data analysis -- Advances in biomarker discovery with gene expression data -- Proteomics and metabolomics for biomarker discovery: an introduction to spectral data analysis -- Data integration in proteomics and metabolomics for biomarker discovery -- Disease biomarkers and biological interaction networks -- Commentary on disease biomarkers and biological interaction networks -- Integrative data analysis for biomarker discovery -- Data integration: the next big hope? -- Information resources and software tools for biomarker discovery -- Challenges and research directions in bioinformatics and biomarker discovery -- Towards building knowledge-based assistants for intelligent data analysis in biomarker discovery -- Accompanying commentary on challenges and opportunities of bioinformatics in disease biomarker discovery
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| 653 |
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|a Biochemical markers / fast / (OCoLC)fst00831950
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| 653 |
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|a Computational Biology
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| 653 |
|
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|a Biochemical markers / http://id.loc.gov/authorities/subjects/sh85014122
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| 653 |
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|a Bioinformatics / http://id.loc.gov/authorities/subjects/sh00003585
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| 653 |
|
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|a Biomarkers
|
| 653 |
|
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|a Bioinformatics / fast / (OCoLC)fst00832181
|
| 653 |
|
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|a Bio-informatique
|
| 653 |
|
|
|a Marqueurs biologiques
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b OREILLY
|a O'Reilly
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| 776 |
|
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|z 9780470744604
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781119964308/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610
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| 520 |
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|a 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 prov
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