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blank  \nComputational Text Analysis for Functional Genomics and Bioinformatics  \nSoumya Raychaudhuri  \n1  \n3  \nGreat Clarendon Street, Oxford ox2 6dp Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide in Oxford New York  \nAuckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto  \nWith offices in  \nArgentina Austria Brazil Chile Czech Republic France Greece  \nGuatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Oxford is a registered trade mark of Oxford University Press in the UK and in certain other countries  \nPublished in the United States  \nby Oxford University Press Inc., New York  \n􀀁 Oxford University Press, 2006  \nThe moral rights of the author have been asserted Database right Oxford University Press (maker) First published 2006  \nAll rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing of Oxford University Press, or as expressly permitted by law, or under terms agreed with the appropriate reprographics rights organization. Enquiries concerning reproduction outside the scope of the above should be sent to the Rights Department, Oxford University Press, at the address above  \nYou must not circulate this book in any other binding or cover and you must impose the same condition on any acquirer  \nBritish Library Cataloguing in Publication Data Data available  \nLibrary of Congress Cataloging in Publication Data Data available  \nTypeset by SPI Publisher Services, Pondicherry, India Printed in Great Britain  \non acid-free paper by  \nBiddles Ltd., King’s Lynn Norfolk  \nISBN 0-19-856740-5 978-0-19-8567400 ISBN 0-19-856741-3 (Pbk.) 978-0-19-8567417 (Pbk.)  \n1 3 5 7 9 10 8 6 4 2  \nDedicated to my grandfather and role model Professor Sahadeb Banerjee (4/1/914–4/20/2005)  \nThis page intentionally left blank  \nPreface  \nThis book is an introduction to the newly emerging field of textual analysis in genomics. It presents some of the newest methods, and demonstrates applications to proteomics, sequence analysis, and gene expression data.  \nMy personal interest in this field began early during my graduate school years as these methods were rapidly emerging. My colleagues were excitedly utilizing new high throughput technologies in biology with which they could collect data at unprecedented rates. Gene expression arrays, for example, offered the opportunity to simultaneously explore expression of all genes ina cell. However, many were hitting the same roadblocks; making sense of all of that data was tedious and frustrating. Even differentiating signal from noise was a challenge; certainly finding subtle patterns in the data proved tobe much more difficult than anyone expected. A host of statistical methods were emerging to analyze the numerical data, but yet they lacked the necessary context to fully harness the power of these complex experimental results. The difficulty is that complete interpretation requires understanding all of the large number of genes, their complex functions, and interactions. But, just keeping up with the literature on a single gene can be a challenge itself, and for thousands of genes it is simply impossible! At that time I became interested in the promise of statistical natural language processing algorithms, and their potential in biology. These methods often are the only reasonable way to include the literature on thousands of genes in genomics data analysis and to give context to the data.  \nWe describe analytical methods that utilize the scientific literature in the context of specific experimental modalities in this book. ","cbCaiauH6O94js3j","https://ap.wps.com/l/cbCaiauH6O94js3j","pdf",2293942,313,"English","# Preface\n## Aims and scope\n## Generalization and applications\n## Intended audience\n# Acknowledgements","[{\"question\":\"What field does the book introduce?\",\"answer\":\"The book introduces computational text analysis in genomics, focusing on methods that connect scientific literature with biological data to enable functional interpretation.\"},{\"question\":\"Which biological applications does the book cover?\",\"answer\":\"It demonstrates applications to proteomics, sequence analysis, and gene expression data, framed through specific experimental modalities.\"},{\"question\":\"Who is the intended audience?\",\"answer\":\"It can serve as a primary text for graduate courses in genomics or computational biology, or as an adjunct in advanced computational biology, with minimal prerequisites beyond probability and statistics.\"}]","Computational Text Analysis for Functional Genomics and Bioinformatics | PDF",1789975261,789]