| Description |
x, 387 pages : illustrations (some color) ; 24 cm |
| Contents |
Mathematical, statistical, and data mining principles -- Missing value estimation using KNN and Bayesian methods -- Normalization, scaling, and discretization -- Cross-platform comparison -- Discovering differential biomarkers -- Gene selection and classification -- Gene clustering -- Gene prediction |
|
Reverse engineering : gene regulatory network construction and its behavior -- Motif detection and transcription factor binding site (TFBS) identification -- Integrated microarray and gene sequence analysis -- Protein structure informatics -- Biomarker discovery from proteomics -- Bio-imaging informatics -- Conclusions |
| Summary |
"This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Computational biology.
|
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DNA microarrays.
|
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Bioinformatics.
|
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Computational Biology -- methods.
|
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Microarray Analysis -- methods.
|
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Oligonucleotide Array Sequence Analysis -- methods.
|
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Statistics as Topic -- methods.
|
| Author |
Wong, Stephen T. C.
|
| LC no. |
2007037128 |
| ISBN |
9789812707048 (hardcover) |
|
9812707042 (hardcover) |
|
