Bioinformatics Using Computational Intelligence Paradigms

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Seiffert, Udo (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης), Schweizer, Patric (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Studies in Fuzziness and Soft Computing, 176
• Θέματα: Computer science.; Biotechnology.; Computers.; Artificial intelligence.; Bioinformatics.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Computer Science.; Theory of Computation.; Computational Intelligence.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical a...

Πίνακας περιεχομένων:

• Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning
• Prototype Based Recognition of Splice Sites
• Contact Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks
• Discriminative Clustering of Yeast Stress Response
• A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle
• Class Prediction with Microarray Datasets
• Random Voronoi Ensembles for Gene Selection in DNA Microarray Data
• Cancer Classification with Microarray Data Using Support Vector Machines
• Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data.