Data Mining for Bioinformatics Applications
Autor He Zengyouen Limba Engleză Hardback – 4 iun 2015
The text uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems, containing 45 bioinformatics problems that have been investigated in recent research. For each example, the entire data mining process is described, ranging from data preprocessing to modeling and result validation.
- Provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems
- Uses an example-based method to illustrate how to apply data mining techniques to solve real bioinformatics problems
- Contains 45 bioinformatics problems that have been investigated in recent research
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Specificații
ISBN-13: 9780081001004
ISBN-10: 0081001002
Pagini: 100
Dimensiuni: 152 x 229 x 9 mm
Greutate: 0.3 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0081001002
Pagini: 100
Dimensiuni: 152 x 229 x 9 mm
Greutate: 0.3 kg
Editura: ELSEVIER SCIENCE
Cuprins
Chapter 1: An overview of data mining
Chapter 2: Introduction to bioinformatics
Chapter 3: Phosphorylation motif discovery
Chapter 4: Phosphorylation site prediction
Chapter 5: Protein inference in shotgun proteomics
Chapter 6: Protein-protein interaction network construction from AP-MS data
Chapter 7: Protein complex identification from AP-MS data
Chapter 8: Biomarker discovery
Chapter 2: Introduction to bioinformatics
Chapter 3: Phosphorylation motif discovery
Chapter 4: Phosphorylation site prediction
Chapter 5: Protein inference in shotgun proteomics
Chapter 6: Protein-protein interaction network construction from AP-MS data
Chapter 7: Protein complex identification from AP-MS data
Chapter 8: Biomarker discovery