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ePub Knowledge-Based Bioinformatics: From Analysis to Interpretation download

by Gil Alterovitz,Marco Ramoni

ePub Knowledge-Based Bioinformatics: From Analysis to Interpretation download
Author:
Gil Alterovitz,Marco Ramoni
ISBN13:
978-0470748312
ISBN:
0470748311
Language:
Publisher:
Wiley; 1 edition (August 23, 2010)
Category:
Subcategory:
Biological Sciences
ePub file:
1627 kb
Fb2 file:
1320 kb
Other formats:
lit doc azw lrf
Rating:
4.2
Votes:
551

ulty members in Children’s Hospital Informatics Program, Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School. Eun-Young Kim, MD, PhD. Department of Clinical Pharmacology, Inje University Busan Paik Hospital.

Most current texts are either outdated or do not include all the aspects in knowledge and data-driven representation, integration, analysis, and interpretation

Most current texts are either outdated or do not include all the aspects in knowledge and data-driven representation, integration, analysis, and interpretation. This collection aims to address this issue by providing comprehensive coverage of knowledge driven approaches to bioinformatics.

Gil Alterovitz, Marco Ramoni. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. Dr Marco Ramoni, Harvard Medical School & Massachusetts Institute of Technology, USA Dr Ramoni is the Associate Director of Bioinformatics at Harvard Medical school.

This book discusses knowledge-based and statistical approaches, along with applications in. .Dr Gil Alterovitz, Harvard Medical School & Massachusetts Institute of Technology, USA Dr Alterovitz regularly lectures on Bioinformatics and biomedical computing

This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine. Dr Gil Alterovitz, Harvard Medical School & Massachusetts Institute of Technology, USA Dr Alterovitz regularly lectures on Bioinformatics and biomedical computing.

Publisher-supplied data) Chapter 1 Knowledge Based Bioinformatics Eric Karl Neumann Chapter 2 Knowledge-Driven Approaches to.

Publisher-supplied data) Chapter 1 Knowledge Based Bioinformatics Eric Karl Neumann Chapter 2 Knowledge-Driven Approaches to Genome-Scale Analysis Hannah Tipney and Lawrence Hunter Chapter 3 Technologies and Best Practices for Building Bio-Ontologies Mikel Egaa Aranguren, Robert Stevens, Jesualdo Tom s Fern ndez Breis, Erick Antezana, Vladimir Mironov and Martin Kuiper Chapter 4 Design, Implementation and Updating of Knowledge Bases Sarah.

oceedings{asedB, title {Knowledge-based Bioinformatics ^ from Analysis to Interpretation. 1002/9780470669716) of works by 35 authors arranged in 13 Chapters of 4 sections and 2 parts.

Knowledge-Based Bioinformatics book. Start by marking Knowledge-Based Bioinformatics: From analysis to interpretation as Want to Read: Want to Read savin. ant to Read.

From analysis to interpretation. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology

From analysis to interpretation. Тип: Текст PDF. Авторы: Ramoni Marco, Alterovitz Gil. Издательство: John Wiley & Sons Limited(2018). Key Features: Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.

This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and . From analysis to interpretation.

This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology.

There is an increasing need throughout the biomedical sciences fora greater understanding of knowledge-based systems and theirapplication to genomic and proteomic research. This book discussesknowledge-based and statistical approaches, along with applicationsin bioinformatics and systems biology. The text emphasizes theintegration of different methods for analysing and interpretingbiomedical data. This, in turn, can lead to breakthroughbiomolecular discoveries, with applications in personalizedmedicine.

Key Features:

Explores the fundamentals and applications of knowledge-basedand statistical approaches in bioinformatics and systemsbiology.Helps readers to interpret genomic, proteomic, and metabolomicdata in understanding complex biological molecules and theirinteractions.Provides useful guidance on dealing with large datasets inknowledge bases, a common issue in bioinformatics.Written by leading international experts in this field.

Students, researchers, and industry professionals with abackground in biomedical sciences, mathematics, statistics, orcomputer science will benefit from this book. It will also beuseful for readers worldwide who want to master the application ofbioinformatics to real-world situations and understand biologicalproblems that motivate algorithms.