000 06323cam a2200637Ii 4500
001 ocn918135780
003 OCoLC
005 20190328114812.0
006 m o d
007 cr cnu|||unuuu
008 150813s2015 mau ob 001 0 eng d
040 _aN$T
_beng
_erda
_epn
_cN$T
_dEBLCP
_dN$T
_dYDXCP
_dOPELS
_dIDEBK
_dUMI
_dOCLCF
_dSTF
_dDEBBG
_dB24X7
_dCOO
_dOCLCO
_dCDX
_dD6H
_dAU@
_dSCB
_dZ5A
_dVT2
_dVGM
_dLIV
_dOCLCQ
_dU3W
_dCEF
_dOCLCQ
_dWYU
019 _a919515530
_a924055503
_a956678784
_a988654386
_a1008960047
_a1066407451
020 _a9780128026465
_q(electronic bk.)
020 _a0128026464
_q(electronic bk.)
020 _a0128025085
020 _a9780128025086
020 _z9780128025086
035 _a(OCoLC)918135780
_z(OCoLC)919515530
_z(OCoLC)924055503
_z(OCoLC)956678784
_z(OCoLC)988654386
_z(OCoLC)1008960047
_z(OCoLC)1066407451
050 4 _aQH324.2
_b.T73 2015eb
072 7 _aSCI
_x007000
_2bisacsh
082 0 4 _a572.80285
_223
245 0 0 _aEmerging trends in computational biology, bioinformatics, and systems biology : algorithms and software tools /
_h[electronic resource]
_cedited by Quoc Nam Tran, Hamid Arabnia.
264 1 _aWaltham, MA :
_bElsevier :
_bMorgan Kaufman,
_c2015
264 4 _c�2015
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aEmerging trends in computer science & applied computing
588 0 _aVendor-supplied metadata.
504 _aIncludes bibliographical references and index.
520 _aThis 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. --
_cEdited summary from book.
505 0 _aFront 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 _a3.2. 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 _a5. 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 _aChapter 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 _a4.1.1. 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 _aComputational biology.
650 0 _aBioinformatics.
650 0 _aSystems biology.
650 7 _aSCIENCE
_xLife Sciences
_xBiochemistry.
_2bisacsh
650 7 _aBioinformatics.
_2fast
_0(OCoLC)fst00832181
650 7 _aComputational biology.
_2fast
_0(OCoLC)fst00871990
650 7 _aSystems biology.
_2fast
_0(OCoLC)fst01745552
650 7 _aBiology - General.
_2hilcc
650 7 _aBiology.
_2hilcc
650 7 _aHealth & Biological Sciences.
_2hilcc
655 4 _aElectronic books.
655 0 _aElectronic book.
700 1 _aTran, Quoc-Nam,
_eeditor.
700 1 _aArabnia, Hamid,
_eeditor.
776 0 8 _iPrint version:
_aTran, Quoc-Nam.
_tEmerging trends in computational biology, bioinformatics, and systems biology.
_dAmsterdam : Morgan Kaufmann, 2015
_z9780128025086
_w(OCoLC)915354962
830 0 _aEmerging trends in computer science & applied computing.
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780128025086
999 _c247130
_d247130