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Integrative Cluster Analysis in Bioinformatics
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Table of Contents

Preface xix

List of Symbols xxi

About the Authors xxiii

Part One Introduction 1

1 Introduction to Bioinformatics 3

2 Computational Methods in Bioinformatics 9

Part Two Introduction to Molecular Biology 19

3 The Living Cell 21

4 Central Dogma of Molecular Biology 33

Part Three Data Acquisition and Pre-processing 53

5 High-throughput Technologies 55

6 Databases, Standards and Annotation 67

7 Normalisation 87

8 Feature Selection 109

9 Differential Expression 119

Part Four Clustering Methods 133

10 Clustering Forms 135

11 Partitional Clustering 143

12 Hierarchical Clustering 157

13 Fuzzy Clustering 167

14 Neural Network-based Clustering 181

15 Mixture Model Clustering 197

16 Graph Clustering 227

17 Consensus Clustering 247

18 Biclustering 265

19 Clustering Methods Discussion 283

Part Five Validation and Visualisation 303

20 Numerical Validation 305

21 Biological Validation 323

22 Visualisations and Presentations 339

Part Six New Clustering Frameworks Designed for Bioinformatics 363

23 Splitting-Merging Awareness Tactics (SMART) 365

24 Tightness-tunable Clustering (UNCLES) 385

Appendix 395

Index 409

About the Author

Asoke K. Nandi, Department of Electronic & Computer Engineering, Brunel University London, UK
Prof. Nandi is Chair and Head of the Electronic and Computer Engineering Department at Brunel University London, UK. He leads the Signal Processing and Communications Research Group with interests in the areas of signal processing, machine learning, and communications research. He is a Finland Distinguished Professor at the University of Jyvaskyla, Finland. In 1983 Professor Nandi was a member of the UA1 team at CERN that discovered the three fundamental particles known as W+, W- and Z0, providing the evidence for the unification of the electromagnetic and weak forces, which was recognized by the Nobel Committee for Physics in 1984. He has authored or co-authored more than 190 journal papers, and 2 books. The Google Scholar h-index of his publications is 54. In 2010 he received the Glory of Bengal Award for his outstanding achievements in scientific research, and in 2012 was awarded the IEEE Heinrich Hertz Award. Prof. Nandi is a Fellow of the IEEE.Rui Fa, Department of Electronic & Computer Engineering, Brunel University London, UK
Dr. Fa is a Senior Reseach Fellow in the Department of Electronic & Computer Engineering at Brunel University London, UK. Prior to this, he held research positions at the University of York and the University of Leeds working in radar signal processing and wireless communication projects. His current research interests include bioinformatics, machine learning, Bayesian statistics, statistical signal processing, and network science. Dr Rui Fa received his Bachelor and Master degrees in electronic and electrical engineering from Nanjing University of Science and Technology, China, in 2000 and in 2003, respectively, and his PhD degree in electrical engineering from University of Newcastle, UK, in 2007.Basel Abu-Jamous, Department of Electronic & Computer Engineering, Brunel University London, UK
Basel Abu-Jamous is currently studying for his PhD in electrical engineering & electronics at Brunel University London, UK. His research interests include bioinformatics, computational biology, and the broader areas of information engineering and machine learning.Basel Abu-Jamous received his B.Sc. degree in computer engineering from the University of Jordan, Amman, Jordan, in 2010. He received his M.Sc. degree in information and intelligence engineering from the University of Liverpool, Liverpool, U.K., in 2011. He was awarded the Sir Robin Saxby Prize of the 2010/2011 academic year based on his performance in his M.Sc. degree.

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