2012 IEEE International Workshop on Genomic Signal Processing and Statistics, (GENSIPS)
| Author | : IEEE Electrical Insulation Society Staff |
| Publisher | : |
| Total Pages | : |
| Release | : 2012-12-02 |
| Genre | : |
| ISBN | : 9781467352345 |
2012 Ieee International Workshop On Genomic Signal Processing And Statistics Gensips
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Logic Synthesis for Genetic Diseases
| Author | : Pey-Chang Kent Lin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 112 |
| Release | : 2013-10-31 |
| Genre | : Technology & Engineering |
| ISBN | : 146149429X |
This book brings to bear a body of logic synthesis techniques, in order to contribute to the analysis and control of Boolean Networks (BN) for modeling genetic diseases such as cancer. The authors provide several VLSI logic techniques to model the genetic disease behavior as a BN, with powerful implicit enumeration techniques. Coverage also includes techniques from VLSI testing to control a faulty BN, transforming its behavior to a healthy BN, potentially aiding in efforts to find the best candidates for treatment of genetic diseases.
Predictive Modeling of Drug Sensitivity
| Author | : Ranadip Pal |
| Publisher | : Academic Press |
| Total Pages | : 356 |
| Release | : 2016-11-15 |
| Genre | : Science |
| ISBN | : 012805431X |
Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies. - Applies mathematical and computational approaches to biological problems - Covers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validation - Includes the latest results on drug sensitivity modeling that is based on updated research findings - Provides information on existing data and software resources for applying the mathematical and computational tools available
Analysis of Deterministic Cyclic Gene Regulatory Network Models with Delays
| Author | : Mehmet Eren Ahsen |
| Publisher | : Birkhäuser |
| Total Pages | : 104 |
| Release | : 2015-02-25 |
| Genre | : Science |
| ISBN | : 3319156063 |
This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.
Data Science with Semantic Technologies
| Author | : Archana Patel |
| Publisher | : CRC Press |
| Total Pages | : 293 |
| Release | : 2023-06-20 |
| Genre | : Computers |
| ISBN | : 1000881237 |
As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies. Data Science with Semantic Technologies: New Trends and Future Developments highlights how data science enables the user to create intelligence through these technologies. In addition, this book offers the answers to various questions such as: Can semantic technologies facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of the researchers? What should be the vision 2030 for data science? This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and, thus, it is a unique resource for scholars, researchers, professionals, and practitioners in this field.
Computational Advancement in Communication Circuits and Systems
| Author | : Koushik Maharatna |
| Publisher | : Springer |
| Total Pages | : 498 |
| Release | : 2015-03-17 |
| Genre | : Technology & Engineering |
| ISBN | : 8132222741 |
This book comprises the proceedings of 1st International Conference on Computational Advancement in Communication Circuits and Systems (ICCACCS 2014) organized by Narula Institute of Technology under the patronage of JIS group, affiliated to West Bengal University of Technology. The conference was supported by Technical Education Quality Improvement Program (TEQIP), New Delhi, India and had technical collaboration with IEEE Kolkata Section, along with publication partner by Springer. The book contains 62 refereed papers that aim to highlight new theoretical and experimental findings in the field of Electronics and communication engineering including interdisciplinary fields like Advanced Computing, Pattern Recognition and Analysis, Signal and Image Processing. The proceedings cover the principles, techniques and applications in microwave & devices, communication & networking, signal & image processing, and computations & mathematics & control. The proceedings reflect the conference’s emphasis on strong methodological approaches and focus on applications within the domain of Computational Advancement in Communication Circuits and Systems. The content also emphasizes the emerging technologies in the Electronics and Communication field together in close examinations of practices, problems and trends.
Protein-Protein Interactions in Human Disease, Part A
| Author | : |
| Publisher | : Academic Press |
| Total Pages | : 290 |
| Release | : 2018-02-03 |
| Genre | : Science |
| ISBN | : 0128143452 |
Protein-Protein Interactions in Human Disease, Part A, Volume 110 aims to promote further research and development in the protein interaction network as a means to not only identify the critical proteins involved in the etiology of human diseases, but also identify new protein targets for drug development. Sections cover such topics as protein-protein interaction modulators for epigenetic therapies, intrinsic disorder, protein-protein interactions and disease, targeting protein-protein interactions in the ubiquitin-proteasome pathway, the proteomics of occupational diseases, and computational methods in predicting the impact of SNPs in protein-protein network, amongst other topics. - Describes advances in the application of powerful techniques in studying and analyzing protein-protein interactions - Targeted to a wide audience of researchers, specialists and students - Written by authorities in their field - Includes information that is well supported by a number of high quality illustrations, figures and tables
Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry
| Author | : Federico Rossi |
| Publisher | : Springer |
| Total Pages | : 207 |
| Release | : 2017-04-20 |
| Genre | : Computers |
| ISBN | : 3319577115 |
This book constitutes the revised selected papers of the 11th Italian Workshop on Advances in Artificial Life, Evolutionary Computation and Systems Chemistry, WIVACE 2016, held at Fisciano, Italy, in October 2016. The 16 full papers together with 1 short papers presented have been thoroughly reviewed and selected from 54 submissions. They cover the following topics: evolutionary computation, bioinspired algorithms, genetic algorithms, bioinformatics and computational biology, modelling and simulation of artificial and biological systems, complex systems, synthetic and systems biology, systems chemistry.
Biotechnology: Concepts, Methodologies, Tools, and Applications
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2220 |
| Release | : 2019-06-07 |
| Genre | : Science |
| ISBN | : 152258904X |
Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology
| Author | : Hamid R Arabnia |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 670 |
| Release | : 2015-08-11 |
| Genre | : Computers |
| ISBN | : 0128026464 |
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. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • 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. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses 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.
