Data Mining in Biomedicine
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2007.
|
| Σειρά: | Springer Optimization and Its Applications,
7 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Recent Methodological Developments for Data Mining Problems in Biomedicine
- Pattern-Based Discriminants in the Logical Analysis of Data
- Exploring Microarray Data with Correspondence Analysis
- An Ensemble Method of Discovering Sample Classes Using Gene Expression Profiling
- CpG Island Identification with Higher Order and Variable Order Markov Models
- Data Mining Algorithms for Virtual Screening of Bioactive Compounds
- Sparse Component Analysis: a New Tool for Data Mining
- Data Mining Via Entropy and Graph Clustering
- Molecular Biology and Pooling Design
- An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier
- Classifying Noisy and Incomplete Medical Data by a Differential Latent Semantic Indexing Approach
- Ontology Search and Text Mining of MEDLINE Database
- Data Mining Techniques in Disease Diagnosis
- Logical Analysis of Computed Tomography Data to Differentiate Entities of Idiopathic Interstitial Pneumonias
- Diagnosis of Alport Syndrome by Pattern Recognition Techniques
- Clinical Analysis of the Diagnostic Classification of Geriatric Disorders
- Data Mining Studies in Genomics and Proteomics
- A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis
- Mathematical Programming Formulations for Problems in Genomics and Proteomics
- Inferring the Origin of the Genetic Code
- Deciphering the Structures of Genomic DNA Sequences Using Recurrence Time Statistics
- Clustering Proteomics Data Using Bayesian Principal Component Analysis
- Bioinformatics for Traumatic Brain Injury: Proteomic Data Mining
- Characterization and Prediction of Protein Structure
- Computational Methods for Protein Fold Prediction: an Ab-initio Topological Approach
- A Topological Characterization of Protein Structure
- Applications of Data Mining Techniques to Brain Dynamics Studies
- Data Mining in EEG: Application to Epileptic Brain Disorders
- Information Flow in Coupled Nonlinear Systems: Application to the Epileptic Human Brain
- Reconstruction of Epileptic Brain Dynamics Using Data Mining Techniques
- Automated Seizure Prediction Algorithm and its Statistical Assessment: A Report from Ten Patients
- Seizure Predictability in an Experimental Model of Epilepsy
- Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling.
