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Emerging trends in applications and infrastructures for computational biology, bioinformatics, and systems biology : systems and applications /
"Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques&...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, MA :
Morgan Kaufmann/Elsevier Ltd.,
[2016]
|
| Colección: | Emerging trends in computer science & applied computing.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Emerging trends in applications and infrastructures for computational biology, bioinformatics, and systems biology : |b systems and applications / |c [edited by] Quoc Nam Tran, Hamid R. Arabnia. |
| 264 | 1 | |a Cambridge, MA : |b Morgan Kaufmann/Elsevier Ltd., |c [2016] | |
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| 490 | 1 | |a Emerging trends in computer science & applied computing | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Vendor-supplied metadata. | |
| 520 | |a "Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques"-- |c Provided by publisher | ||
| 505 | 0 | |a Front Cover; Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: System ... ; Copyright ; Contents; List of Contributors; Preface; Introduction; Acknowledgments; Section I: Computational Biology -- Methodologies and Algorithms; Chapter 1: Using Methylation Patterns for Reconstructing Cell Division Dynamics: Assessing Validation Experiments; 1.1. Introduction; 1.1.1. Using Methylation Patterns; 1.1.2. Bisulfite Treatment; 1.2. Errors, Biases, and Uncertainty in Bisulfite Sequencing; 1.3. Model for Degradation and Sampling. | |
| 505 | 8 | |a 1.3.1. Modeling1.3.2. Simulation Study: Effects of Degradation; 1.4. Statistical Inference Method; 1.5. Simulation Study: Bayesian Inference; 1.6. Discussion; 1.6.1. Different Experiments; 1.6.2. Opportunities; 1.6.3. Conclusions; References; Chapter 2: A Directional Cellular Dynamic Under the Control of a Diffusing Energy for Tissue Morphogenesis: Phenotype and ... ; 2.1. Introduction; 2.2. Mathematical Morphological Dynamics; 2.2.1. Gene and Status Expression; 2.3. Attainable Sets of Phenotypes; 2.3.1. Implementation. | |
| 505 | 8 | |a 2.4. Prediction Tool Based on a Coevolution of a Dynamic Tissue with an Energy Diffusion2.4.1. Prediction of Tissue Growth; 2.4.2. Energy Diffusion Model; 2.4.2.1. Mitosis; 2.4.2.2. Quiescence; 2.4.2.3. Apoptosis; 2.4.3. Results; 2.5. Discussion; References; Chapter 3: A Feature Learning Framework for Histology Images Classification; 3.1. Introduction; 3.2. Methods; 3.2.1. Color and Color Spaces; 3.2.2. Features Extraction and Classification; 3.3. Proposed System; 3.4. Image Data Sets; 3.5. Experimental Results; 3.6. Conclusion; References. | |
| 505 | 8 | |a Chapter 4: Spontaneous Activity Characterization in Spiking Neural Systems with Log-Normal Synaptic Weight Distribution4.1. Introduction; 4.2. Models of Spontaneous Activity; 4.3. Model and Methods; 4.3.1. LIF Neural System Applied Synaptic Input; 4.3.2. Izhikevich Neural System Used for Synaptic Input; 4.3.3. Evaluation Indices; 4.4. Results and Evaluations; 4.4.1. Effect of Input Spike From Weak Synapse in LIF Neural System; 4.4.2. Spike Transmission in LIF Neural System; 4.4.3. Spike Transmission in Izhikevich Neural System; 4.5. Conclusions; References. | |
| 505 | 8 | |a Chapter 5:Comparison Between OpenMP and Mpich Optimized Parallel Implementations of a Cellular Automaton that Simulates th ... 5.1. Introduction; 5.1.1. The Cellular Automaton Game of Life; 5.2. MPICH Optimized Approach of the Cellular Automaton; 5.2.1. MPI Standard; 5.2.2. Description of the MPICH Approach of the Cellular Automaton; 5.2.3. MPICH Implementation of the Cellular Automaton; Code 1. Program code of the MPICH version of Game of Life; 5.3. OpenMP Optimized Approach of the Cellular Automaton; 5.3.1. Open Multiprocessing. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Systems biology. | |
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a Big data. | |
| 650 | 2 | |a Computational Biology |0 (DNLM)D019295 | |
| 650 | 2 | |a Systems Biology |0 (DNLM)D049490 | |
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| 650 | 6 | |a Bio-informatique. |0 (CaQQLa)201-0313075 | |
| 650 | 6 | |a Biologie syst�emique. |0 (CaQQLa)000260964 | |
| 650 | 6 | |a Informatique. |0 (CaQQLa)201-0063036 | |
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| 650 | 7 | |a COMPUTERS |x Bioinformatics. |2 bisacsh | |
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| 650 | 7 | |a Systems biology |2 fast |0 (OCoLC)fst01745552 | |
| 700 | 1 | |a Tran, Quoc-Nam, |e editor. | |
| 700 | 1 | |a Arabnia, Hamid, |e editor. | |
| 830 | 0 | |a Emerging trends in computer science & applied computing. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128042038 |z Texto completo |