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Clustering In Bioinformatics And Drug Discovery


Clustering In Bioinformatics And Drug Discovery
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Clustering In Bioinformatics And Drug Discovery


Clustering In Bioinformatics And Drug Discovery
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Author : John David MacCuish
language : en
Publisher: CRC Press
Release Date : 2010-11-15

Clustering In Bioinformatics And Drug Discovery written by John David MacCuish and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-15 with Computers categories.


With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery.Setting the stage for subsequent material, the firs



Clustering In Bioinformatics And Drug Discovery


Clustering In Bioinformatics And Drug Discovery
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Author : JOHN DAVID. MACCUISH MACCUISH (NORAH E.)
language : en
Publisher: CRC Press
Release Date : 2019-07-02

Clustering In Bioinformatics And Drug Discovery written by JOHN DAVID. MACCUISH MACCUISH (NORAH E.) and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-02 with categories.


With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a concise overview of common and recent clustering methods used in bioinformatics and drug discovery. Setting the stage for subsequent material, the first three chapters of the book introduce statistical learning theory, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on partitional, cluster sampling, and hierarchical algorithms, the book provides readers with enough detail to obtain a basic understanding of cluster analysis for bioinformatics and drug discovery. The remaining chapters cover more advanced methods, such as hybrid and parallel algorithms, as well as details related to specific types of data, including asymmetry, ambiguity, validation measures, and visualization. This book explores the application of cluster analysis in the areas of bioinformatics and cheminformatics as they relate to drug discovery. Clarifying the use and misuse of clustering methods, it helps readers understand the relative merits of these methods and evaluate results so that useful hypotheses can be developed and tested.



Data Clustering Theory Algorithms And Applications Second Edition


Data Clustering Theory Algorithms And Applications Second Edition
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Author : Guojun Gan
language : en
Publisher: SIAM
Release Date : 2020-11-10

Data Clustering Theory Algorithms And Applications Second Edition written by Guojun Gan and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Mathematics categories.


Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.



Data Analytics In Bioinformatics


Data Analytics In Bioinformatics
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Author : Rabinarayan Satpathy
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-20

Data Analytics In Bioinformatics written by Rabinarayan Satpathy and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with Computers categories.


Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.



Bioinformatics And Drug Discovery


Bioinformatics And Drug Discovery
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Author : Richard S. Larson
language : en
Publisher: Humana Press
Release Date : 2012-07-21

Bioinformatics And Drug Discovery written by Richard S. Larson and has been published by Humana Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-21 with Science categories.


Recent advances in drug discovery have been rapid. The second edition of Bioinformatics and Drug Discovery has been completely updated to include topics that range from new technologies in target identification, genomic analysis, cheminformatics, protein analysis, and network or pathway analysis. Each chapter provides an extended introduction that describes the theory and application of the technology. In the second part of each chapter, detailed procedures related to the use of these technologies and software have been incorporated. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Bioinformatics and Drug Discovery, Second Edition seeks to aid scientists in the further study of the rapidly expanding field of drug discovery.



Integrative Cluster Analysis In Bioinformatics


Integrative Cluster Analysis In Bioinformatics
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Author : Basel Abu-Jamous
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-16

Integrative Cluster Analysis In Bioinformatics written by Basel Abu-Jamous and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-16 with Technology & Engineering categories.


Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets



Anti Obesity Drug Discovery And Development


Anti Obesity Drug Discovery And Development
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Author : Atta-ur- Rahman
language : en
Publisher: Bentham Science Publishers
Release Date : 2011-07-07

Anti Obesity Drug Discovery And Development written by Atta-ur- Rahman and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-07 with Medical categories.


"Obesity is a complex health problem, caused by a number of factors such as excessive food intake, lack of physical activity, genetic predisposition, endocrine disorders, medications and psychiatric illnesses. Onset of obesity in both the developing and th"



Computer Aided And Machine Learning Driven Drug Design


Computer Aided And Machine Learning Driven Drug Design
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Author : Vinícius Gonçalves Maltarollo
language : en
Publisher: Springer Nature
Release Date : 2025-02-27

Computer Aided And Machine Learning Driven Drug Design written by Vinícius Gonçalves Maltarollo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Science categories.


The computer-aided drug design research field comprises several different knowledge areas, and often, researchers are only familiar or experienced with a small fraction of them. Indeed, pharmaceutical industries and large academic groups rely on a broad range of professionals, including chemists, biologists, pharmacists, and computer scientists. In this sense, it is difficult to be an expert in every single CADD approach. Furthermore, there are well-established methods that are constantly revisited, and novel approaches are introduced, such as machine-learning based scoring functions for molecular docking. This book provides an organized update of the most commonly employed CADD techniques, as well as successful examples of actual applications to develop bioactive compounds/drug candidates. Also includes is a section of case studies that cover certain pharmacological/target classes, focusing on the applications of the previously described methods. This part will especially appeal to professionals who are not as interested in the theoretical aspects of CADD. This is an ideal book for students, researchers, and industry professionals in the fields of pharmacy, chemistry, biology, bioinformatics, computer sciences, and medicine who are seeking a go-to reference on drug design and medicinal chemistry.



Frontiers In Anti Infective Drug Discovery Volume 8


Frontiers In Anti Infective Drug Discovery Volume 8
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Author : Atta-ur-Rahman
language : en
Publisher: Bentham Science Publishers
Release Date : 2020-10-05

Frontiers In Anti Infective Drug Discovery Volume 8 written by Atta-ur-Rahman and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-05 with Medical categories.


This book series brings updated reviews to readers interested in advances in the development of anti-infective drug design and discovery. The scope of the book series covers a range of topics including rational drug design and drug discovery, medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, recent important patents, and structure-activity relationships. Frontiers in Anti-Infective Drug Discovery is a valuable resource for pharmaceutical scientists and post-graduate students seeking updated and critically important information for developing clinical trials and devising research plans in this field. The eighth volume of this series features 8 chapters that cover methods for antimicrobial drug discovery (with 2 chapters that focus on genomics) as well as updates on drug development against Helicobacter pylori and emerging coronaviruses, among other interesting topics: - Eradication of Helicobacter pylori Infection with Non-Bismuth Quadruple Concomitant Therapy - Drug Discovery Strategies Against Emerging Coronaviruses: A Global Threat - Opportunities Offered By Fragment-Based Drug Design in Antibiotic Development - Phage therapy as a Tool for Control of Foodborne Diseases: Advantages and Limitations - Subtractive Genomics Approaches: Towards Anti-Bacterial Drug Discovery - Recent Advances in the Discovery of Antimicrobials through Metagenomics - Phyto-Nano-Antimicrobials: Synthesis, Characterization, Discovery, and Advances - Aptamers as Anti-infective Agents.



Artificial Intelligence For Drug Development Precision Medicine And Healthcare


Artificial Intelligence For Drug Development Precision Medicine And Healthcare
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Author : Mark Chang
language : en
Publisher: CRC Press
Release Date : 2020-05-12

Artificial Intelligence For Drug Development Precision Medicine And Healthcare written by Mark Chang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Business & Economics categories.


Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.