Prediction of Target Genes Based on Multiway Integration of High-Throughput Data
In the past few years, ChIP-seq data have emerged as a powerful source to discover regulatory functional elements as well as disease related genetic reasons. However, owing to cost, or biological material availability, it is hard to do experiment for ever
- PDF / 60,458,974 Bytes
- 882 Pages / 439.37 x 666.142 pts Page_size
- 30 Downloads / 136 Views
De-Shuang Huang · Vitoantonio Bevilacqua Prashan Premaratne (Eds.)
Intelligent Computing Theories and Application 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part I
123
Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
9771
More information about this series at http://www.springer.com/series/7409
De-Shuang Huang Vitoantonio Bevilacqua Prashan Premaratne (Eds.) •
Intelligent Computing Theories and Application 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part I
123
Editors De-Shuang Huang Tongji University Shanghai China
Prashan Premaratne University of Wollongong North Wollongong, NSW Australia
Vitoantonio Bevilacqua Polytechnic of Bari Bari Italy
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-42290-9 ISBN 978-3-319-42291-6 (eBook) DOI 10.1007/978-3-319-42291-6 Library of Congress Control Number: 2016943868 LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer im