Analyzing network data in biology
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Analyzing network data in biology
ANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology a in Biology and Medicine An Interdisciplinary Textbook for Biological, Medical, and Computational ScientistsThe increased and widespread availability oi' large network data resources in recent years has resulted in a growing need for effective methods for their analysis. 1 he challenge is to detect Analyzing network data in biology patterns that provide a bolter understanding of the data. However, tills is not a straightforward task because of the size of the datasets and the coAnalyzing network data in biology
mputer power required for the analysis. The solution is to devise methods (or approximately answering the questions posed and these methods will vary ANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology ork theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical datasets, using a wide range of real-life examples. Bringing together leading experts, this text provides an ideal introduction to Analyzing network data in biology and insight into the interdisciplinary field of network data analysis in biomedicine.NataSa Przulj is Professor of Biomedical Data Science at UniversiAnalyzing network data in biology
ty College London (ƯCL) and an ICREA Research Professor at Barcelona Supercomputing Center. She has been an elected academician of The Academy of EuroANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology rld molecular network datasets and for extending and using machine learning methods for integration of heterogeneous biomedical and molecular data, applied to advancing biological and medical knowledge. She received two prestigious European Research Council (ERC) research grants, Starting (2012-2017 Analyzing network data in biology ) and Consolidator (2018-2023), and USA National Science Foundation (NSF) grants among others. She is a recipient of the BCS Roger Needham Award for 2Analyzing network data in biology
014. She was previously an Associate Professor (Reader, 2012-2016) and Assistant Professor (lecturer, 2000 2012) in the Department of Computing al ImpANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology in Computer Science from University of Toronto ill 2005.Analyzing Network Data in Biology and MedicineAn Interdisciplinary Textbook for Biological, Medical, and Computational ScientistsEdited and authored byNATAỖA PRZULJProfessor of Biomedical Data Science, Computer Science Department,University Col Analyzing network data in biology lege LondonICREA Research Professor at Barcelona Supercomputing Centergfl CambridgeUNIVERSITY PRESShttps://khothuvien.cori!CambridgeUNIVERSITY PRESSUnAnalyzing network data in biology
iversity Printing House, Cambridge CB2 8BS, United KingdomOne Liberty Plaza, 20th Floor, New York, NY 10006, USA477 Williamstown Road, Port Melbourne,ANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology 9906Cambridge Universit}' Press is part of the University of Cambridge.It furthers the University's mission by disseminating knowledge in the pursuit of education, learning, and research at the highest international levels of excellence.www.cambridge.orgInformation on this title: www.cambridge.org/b Analyzing network data in biology ionet worksDOI: 10.1017/9781108377706©Cambridge University Press 2019This publication is in copyright. Subject to statutory exception and to the proviAnalyzing network data in biology
sions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University PANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network Data Analyzing network data in biology British Library.Library of Congress Cataloging-in-Publication Data Names: Priulj, NataSa, editor.Title: Analyzing network data in biology and medicine: an interdisciplinary textbook for biological, medical and computational scientists / edited by Nataỉa Pr2ulj, University College London. Analyzing network data in biology ANALYZING NETWORK DATA IN BIOLOGY AND MEDICINEAn Interdisciplinary Textbook for Biological, Medical and Computational ScientistsAnalyzing Network DataGọi ngay
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