Statistical and Machine Learning Approaches for Network Analysis: (Wiley Series in Computational Statistics)
By
Matthias Dehmer (Author) Subhash C. Basak (Author)
Hardback
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About the Author
MATTHIAS DEHMER, PHD, is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bioinformatics, systems biology, and applied discrete mathematics. Dr. Dehmer is also the coeditor of Applied Statistics for Network Biology, Statistical Modelling of Molecular Descriptors in QSAR/QSPR, Medical Biostatistics for Complex Diseases, Analysis of Complex Networks, and Analysis of Microarray Data, all published by Wiley. SUBHASH C. BASAK, PHD, is Senior Research Associate at the Natural Resources Research Institute. He has published extensively in the areas of biochemical pharmacology, toxicology, mathematical chemistry, and computational chemistry.
More Details
- Contributor: Matthias Dehmer
- Imprint: John Wiley & Sons Inc
- ISBN13: 9780470195154
- Number of Pages: 344
- Packaged Dimensions: 163x241x23mm
- Packaged Weight: 608
- Format: Hardback
- Publisher: John Wiley & Sons Inc
- Release Date: 2012-09-07
- Series: Wiley Series in Computational Statistics
- Binding: Hardback
- Biography: MATTHIAS DEHMER, PHD, is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bioinformatics, systems biology, and applied discrete mathematics. Dr. Dehmer is also the coeditor of Applied Statistics for Network Biology, Statistical Modelling of Molecular Descriptors in QSAR/QSPR, Medical Biostatistics for Complex Diseases, Analysis of Complex Networks, and Analysis of Microarray Data, all published by Wiley. SUBHASH C. BASAK, PHD, is Senior Research Associate at the Natural Resources Research Institute. He has published extensively in the areas of biochemical pharmacology, toxicology, mathematical chemistry, and computational chemistry.
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