Pathway modeling and algorithm research /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Mastorakis, Nikos E. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, Inc., [2011]
Colección:Computer science, technology and applications.
Temas:
Fault-tolerant computing.
Mobile computing.
Algorithms.
Algorithms
Tolérance aux fautes (Informatique)
Informatique mobile.
Algorithmes.
algorithms.
COMPUTERS > Programming > Open Source.
COMPUTERS > Software Development & Engineering > Tools.
COMPUTERS > Software Development & Engineering > General.
Fault-tolerant computing
Mobile computing
Acceso en línea:Texto completo

MARC

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245 0 0 |a Pathway modeling and algorithm research /  |c Nikos E. Mastorakis, editor. 
264 1 |a New York :  |b Nova Science Publishers, Inc.,  |c [2011] 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Computer science, technology and applications 
500 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
504 |a Includes bibliographical references and index. 
546 |a English. 
505 0 |a PATHWAY MODELING AND ALGORITHM RESEARCH; PATHWAY MODELING AND ALGORITHM RESEARCH; Contents; Preface; Biological Pathways and Their Modeling; Abstract; 1. Introduction; 2. Classification; 2.1. Gene Regulatory Networks (GRN); 2.2. Signaling Pathways (SP); 2.3. Metabolic Pathways (MP); 3. Modeling Biological Pathways; 4. Current Research; Conclusions; References; Supervised Learning Approaches in Pathway Modeling; Abstract; 1. Introduction; 2. Classification via Supervised Learning; 2.1. Various Approaches; 2.1.1. Artificial Neural Networks (ANN). 
505 8 |a 2.1.1.1. Application to Metabolic Pathway Modeling2.1.1.2. Application to Signal Transduction Modeling; 2.1.1.3. Application to Gene Regulatory Network Modeling; 2.1.2. Support Vector Machines (SVM); 2.1.2.1. Application to Metabolic Pathway Modeling; 2.1.2.2. Application to Gene Regulatory Network Modeling; 2.1.2.3. Application to Signal Transduction Modeling; 2.1.3. Nearest Neighbor Approach; 2.1.3.1. Application to Metabolic Pathway Modeling; 2.1.3.2. Application to Gene Regulatory Network Modeling; 2.1.3.3. Application to Signal Transduction Modeling; 2.1.4. Bayesian Classifier. 
505 8 |a 2.1.4.1. Application to Metabolic Pathway Modeling2.1.4.2. Application to Gene Regulatory Network Modeling; 2.1.4.3. Application to Signal Transduction Modeling; 2.1.5. Logistic Regression; 2.1.5.1. Application to Metabolic Pathway Modeling; 2.1.5.2. Application to Gene Regulatory Network Modeling; 2.1.5.3. Application to Signal Transduction Modeling; 2.1.6. Discriminant Analysis; 2.1.6.1. Application to Metabolic Pathway Modeling; 2.1.6.2. Application to Gene Regulatory Network Modeling; 2.1.6.3. Application to Signal Transduction Modeling; 2.1.7. Decision Trees. 
505 8 |a 2.1.7.1. Application to Metabolic Pathway Modeling2.1.7.2. Application to Gene Regulatory Network Modeling; 2.1.7.3. Application to Signal Transduction Modeling; 3. Current Research; Conclusions; References; Shortest Path Algorithms in Pathway Analysis; Abstract; 1. Introduction; 2. Shortest Path Algorithms; 3. Types of Shortest Path Algorithms; 3.1. Dijkstra's Algorithm; 3.1.1. Algorithm; 3.1.2. Pseudocode; 3.1.3. Time Complexity; 3.2. Bellman-Ford Algorithm; 3.2.1. Algorithm; 3.2.2. Pseudocode; 3.2.3. Time Complexity; 3.3. Floyd-Warshall algorithm; 3.3.1. Algorithm; 3.3.2. Pseudocode. 
505 8 |a 3.3.3. Time Complexity3.4. Johnson's Algorithm; 3.4.1. Algorithm; 3.4.2. Pseudocode; 3.4.3. Time Complexity; 3.5. Breadth First Search (BFS); 3.5.1. Algorithm; 3.5.2. Pseudocode; 3.5.3. Time Complexity; 3.6. k-Shortest Paths; 3.6.1. Algorithm; 3.6.2. Pseudo-Code; 3.6.2.1. Removing Path Algorithm; 3.6.2.2. Deviation Path Algorithm; 3.6.3. Time Complexity; 3.7. Linear Programming; 3.7.1. Algorithm; 3.7.2. Pseudo-Code; 3.7.3. Time Complexity; 4. Application of Shortest Path Algorithms in; Biological Pathways; 4.1. Application to Metabolic Pathway Modeling. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Fault-tolerant computing. 
650 0 |a Mobile computing. 
650 0 |a Algorithms. 
650 2 |a Algorithms 
650 6 |a Tolérance aux fautes (Informatique) 
650 6 |a Informatique mobile. 
650 6 |a Algorithmes. 
650 7 |a algorithms.  |2 aat 
650 7 |a COMPUTERS  |x Programming  |x Open Source.  |2 bisacsh 
650 7 |a COMPUTERS  |x Software Development & Engineering  |x Tools.  |2 bisacsh 
650 7 |a COMPUTERS  |x Software Development & Engineering  |x General.  |2 bisacsh 
650 7 |a Algorithms  |2 fast 
650 7 |a Fault-tolerant computing  |2 fast 
650 7 |a Mobile computing  |2 fast 
700 1 |a Mastorakis, Nikos E.,  |e editor. 
758 |i has work:  |a Pathway modeling and algorithm research (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCXpqgcJ4hY9qBp3H7KdJ6q  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |t Pathway modeling and algorithm research  |d Hauppauge, N.Y. : Nova Science Publishers, c2011.  |z 9781611227574 (hardcover)  |w (DLC) 2010043927 
830 0 |a Computer science, technology and applications. 
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