Cargando…
Emerging trends in computational biology, bioinformatics, and systems biology : algorithms and software tools /
This book 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 simulation techniques. It addresses the development and application of data-analytical and theoret...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Waltham, MA :
Elsevier : Morgan Kaufman,
[2015]
|
| Colección: | Emerging trends in computer science & applied computing.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_ocn918135780 | ||
| 003 | OCoLC | ||
| 005 | 20231120112014.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 150813s2015 mau ob 001 0 eng d | ||
| 010 | |a 2015937984 | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d EBLCP |d N$T |d YDXCP |d OPELS |d IDEBK |d UMI |d OCLCF |d STF |d DEBBG |d B24X7 |d COO |d OCLCO |d CDX |d D6H |d AU@ |d SCB |d Z5A |d VT2 |d VGM |d LIV |d OCLCQ |d U3W |d CEF |d OCLCQ |d WYU |d LQU |d OCLCQ |d UKMGB |d OCLCO |d OCLCQ | ||
| 015 | |a GBB581384 |2 bnb | ||
| 016 | 7 | |a 017409741 |2 Uk | |
| 019 | |a 919515530 |a 924055503 |a 956678784 |a 988654386 |a 1008960047 |a 1066407451 |a 1103260161 |a 1105189868 |a 1105564688 |a 1129347079 |a 1152981639 |a 1192336832 |a 1235828142 |a 1240535289 |a 1262690376 | ||
| 020 | |a 9780128026465 |q (electronic bk.) | ||
| 020 | |a 0128026464 |q (electronic bk.) | ||
| 020 | |a 0128025085 | ||
| 020 | |a 9780128025086 | ||
| 020 | |z 9780128025086 | ||
| 035 | |a (OCoLC)918135780 |z (OCoLC)919515530 |z (OCoLC)924055503 |z (OCoLC)956678784 |z (OCoLC)988654386 |z (OCoLC)1008960047 |z (OCoLC)1066407451 |z (OCoLC)1103260161 |z (OCoLC)1105189868 |z (OCoLC)1105564688 |z (OCoLC)1129347079 |z (OCoLC)1152981639 |z (OCoLC)1192336832 |z (OCoLC)1235828142 |z (OCoLC)1240535289 |z (OCoLC)1262690376 | ||
| 050 | 4 | |a QH324.2 |b .T73 2015eb | |
| 072 | 7 | |a SCI |x 007000 |2 bisacsh | |
| 082 | 0 | 4 | |a 572.80285 |2 23 |
| 245 | 0 | 0 | |a Emerging trends in computational biology, bioinformatics, and systems biology : |b algorithms and software tools / |c edited by Quoc Nam Tran, Hamid Arabnia. |
| 264 | 1 | |a Waltham, MA : |b Elsevier : |b Morgan Kaufman, |c [2015] | |
| 264 | 4 | |c �2015 | |
| 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 Emerging trends in computer science & applied computing | |
| 588 | 0 | |a Vendor-supplied metadata. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a This book 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 simulation techniques. It addresses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems; presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications; provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software. -- |c Edited summary from book. | ||
| 505 | 0 | |a Front Cover; Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology: Algorithms and Software Tools; Copyright; Contents; Contributors; Preface; Acknowledgments; Introduction; Chapter 1: Supervised Learning with the Artificial Neural Networks Algorithm for Modeling Immune Cell Differentiation; 1. Introduction; 1.A. Immune cell differentiation and modeling; 1.B. MSM and model reduction; 1.C. ANN algorithm and its applications; 2. Related work; 3. Modeling immune cell differentiation; 3.1. T cell differentiation process as a use case. | |
| 505 | 8 | |a 3.2. Data for training and testing models3.3. ANN model; 3.4. Comparative analysis with the LR model and SVM; 3.5. Capability of ANN model to analyze data with noise; 4. Discussion; 5. Conclusion; References; References; Chapter 2: Accelerating Techniques for Particle Filter Implementations on FPGA; 1. Introduction; 2. PF and SLAM algorithms; 2.1. Particle filtering; 2.2. Application of PF to SLAM; 3. Computational bottleneck identification and hardware/software partitioning; 4. PF acceleration techniques; 4.1. CORDIC acceleration technique; 4.2. Ziggurat acceleration technique. | |
| 505 | 8 | |a 5. Hardware implementation6. Hardware/software Architecture; 7. Results and discussion; 8. Conclusions; References; Chapter 3: Biological Study on Pulsatile Flow of Herschel-Bulkley Fluid in Tapered Blood Vessels; 1. Introduction; 2. Formulation of the problem; 3. Solution; 4. Discussion; 5. Conclusion; References; Chapter 4: Hierarchical k-Means: A Hybrid Clustering Algorithm and Its Application to Study Gene Expression in Lung Adeno ... ; 1. Introduction; 2. Methods; 3. Data Set; 4. Results and Discussion; 5. Conclusions; References; Supplementary Materials. | |
| 505 | 8 | |a Chapter 5: Molecular Classification of N-Aryloxazolidinone-5-carboxamides as Human Immunodeficiency Virus Protease Inhibitors1. Introduction; 2. Computational method; 3. Classification algorithm; 4. Information entropy; 5. The EC of entropy production; 6. Learning procedure; 7. Calculation results and discussion; 8. Conclusions; Acknowledgment; References; Chapter 6: Review of Recent Protein-Protein Interaction Techniques; 1. Introduction; 2. Technical challenges and open issues; 3. Performance measures; 4. Computational approaches; 4.1. Sequence-based approaches. | |
| 505 | 8 | |a 4.1.1. Statistical sequence-based approaches4.1.1.1. Mirror tree method; 4.1.1.2. PIPE; 4.1.1.3. CD; 4.1.2. ML sequence-based approaches; 4.1.2.1. Auto covariance; 4.1.2.2. Pairwise similarity; 4.1.2.3. AA composition; 4.1.2.4. AA Triad; 4.1.2.5. UNISPPI; 4.1.2.6. ETB-Viterbi; 4.2. Structure-based approaches; 4.2.1. Template structure-based approaches; 4.2.1.1. PRISM; 4.2.1.2. PrePPI; 4.2.2. Statistical structure-based approaches; 4.2.2.1. PID matrix score; 4.2.2.2. PreSPI; 4.2.2.3. DCC; 4.2.2.4. MEGADOCK; 4.2.2.5. Meta approach; 4.2.3. ML structure-based approaches; 4.2.3.1. Random Forest. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Systems biology. | |
| 650 | 2 | |a Computational Biology |0 (DNLM)D019295 | |
| 650 | 2 | |a Systems Biology |0 (DNLM)D049490 | |
| 650 | 6 | |a Bio-informatique. |0 (CaQQLa)201-0313075 | |
| 650 | 6 | |a Biologie syst�emique. |0 (CaQQLa)000260964 | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Biochemistry. |2 bisacsh | |
| 650 | 7 | |a Bioinformatics. |2 fast |0 (OCoLC)fst00832181 | |
| 650 | 7 | |a Computational biology. |2 fast |0 (OCoLC)fst00871990 | |
| 650 | 7 | |a Systems biology. |2 fast |0 (OCoLC)fst01745552 | |
| 650 | 7 | |a Biology - General. |2 hilcc | |
| 650 | 7 | |a Biology. |2 hilcc | |
| 650 | 7 | |a Health & Biological Sciences. |2 hilcc | |
| 700 | 1 | |a Tran, Quoc-Nam, |e editor. | |
| 700 | 1 | |a Arabnia, Hamid, |e editor. | |
| 776 | 0 | 8 | |i Print version: |a Tran, Quoc-Nam. |t Emerging trends in computational biology, bioinformatics, and systems biology. |d Amsterdam : Morgan Kaufmann, 2015 |z 9780128025086 |w (OCoLC)915354962 |
| 830 | 0 | |a Emerging trends in computer science & applied computing. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128025086 |z Texto completo |