Artificial Intelligence In Bioinformatics And Chemoinformatics

Author : Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati
Publisher : CRC Press
Page : 275 pages
File Size : 51,7 Mb
Release : 2023-10-11
Category : Science
ISBN : 9781000952759

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Artificial Intelligence in Bioinformatics and Chemoinformatics by Yashwant Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadankumar Patel,Bhupendra Gopalbhai Prajapati Pdf

The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research

Author : Yashwant V. Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadan K. Patel,Jigna Bhupendra Prajapati
Publisher : CRC Press
Page : 224 pages
File Size : 44,9 Mb
Release : 2023-11-14
Category : Science
ISBN : 9781000996043

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Ethical Issues in AI for Bioinformatics and Chemoinformatics by Yashwant V. Pathak,Surovi Saikia,Sarvadaman Pathak,Jayvadan K. Patel,Jigna Bhupendra Prajapati Pdf

This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools. Features Discusses artificial intelligence and ethics, the challenges and opportunities Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools Ethical responsibility and reasoning for using AI in Big Data Addresses practicing medicine and ethical issues when applying artificial intelligence

Author : Hugh Cartwright
Publisher : CRC Press
Page : 358 pages
File Size : 45,5 Mb
Release : 2008-05-05
Category : Science
ISBN : 9780849384141

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Using Artificial Intelligence in Chemistry and Biology by Hugh Cartwright Pdf

Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to

Author : Lodhi, Huma,Yamanishi, Yoshihiro
Publisher : IGI Global
Page : 418 pages
File Size : 53,8 Mb
Release : 2010-07-31
Category : Computers
ISBN : 9781615209125

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Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques by Lodhi, Huma,Yamanishi, Yoshihiro Pdf

"This book is a timely compendium of key elements that are crucial for the study of machine learning in chemoinformatics, giving an overview of current research in machine learning and their applications to chemoinformatics tasks"--Provided by publisher.

Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 220 pages
File Size : 53,6 Mb
Release : 2021-10-17
Category : Technology & Engineering
ISBN : 9781000463019

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Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

Author : Angelo Facchiano,Dominik Heider,Davide Chicco
Publisher : Frontiers Media SA
Page : 175 pages
File Size : 55,6 Mb
Release : 2020-06-18
Category : Electronic
ISBN : 9782889637522

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Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies by Angelo Facchiano,Dominik Heider,Davide Chicco Pdf

Author : Vijai Singh,Ajay Kumar
Publisher : Springer Nature
Page : 446 pages
File Size : 51,5 Mb
Release : 2021-07-31
Category : Science
ISBN : 9789813361911

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Advances in Bioinformatics by Vijai Singh,Ajay Kumar Pdf

This book presents the latest developments in bioinformatics, highlighting the importance of bioinformatics in genomics, transcriptomics, metabolism and cheminformatics analysis, as well as in drug discovery and development. It covers tools, data mining and analysis, protein analysis, computational vaccine, and drug design. Covering cheminformatics, computational evolutionary biology and the role of next-generation sequencing and neural network analysis, it also discusses the use of bioinformatics tools in the development of precision medicine. This book offers a valuable source of information for not only beginners in bioinformatics, but also for students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in many areas.

Author : Hugh Cartwright,Physical and Theoretical Chemistry Laboratory Hugh Cartwright
Publisher : CRC Press
Page : 356 pages
File Size : 53,6 Mb
Release : 2019-08-30
Category : Electronic
ISBN : 0367387336

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Using Artificial Intelligence in Chemistry and Biology by Hugh Cartwright,Physical and Theoretical Chemistry Laboratory Hugh Cartwright Pdf

Possessing great potential power for gathering and managing data in chemistry, biology, and other sciences, Artificial Intelligence (AI) methods are prompting increased exploration into the most effective areas for implementation. A comprehensive resource documenting the current state-of-the-science and future directions of the field is required to furnish the working experimental scientist and newcomer alike with the background necessary to utilize these methods. In response to the growing interest in the potential scientific applications of AI, Using Artificial Intelligence in Chemistry and Biology explains in a lucid, straightforward manner how these methods are used by scientists and what can be accomplished with them. Designed for those with no prior knowledge of AI, computer science, or programming, this book efficiently and quickly takes you to the point at which meaningful scientific applications can be investigated. The approach throughout is practical and direct, employing figures and illustrations to add clarity and humor to the topics at hand. Unique in scope, addressing the needs of scientists across a range of disciplines, this book provides both a broad overview and a detailed introduction to each of the techniques discussed. Chapters include an introduction to artificial intelligence, artificial neural networks, self-organizing maps, growing cell structures, evolutionary algorithms, cellular automata, expert systems, fuzzy logic, learning classifier systems, and evolvable developmental systems. The book also comes with a CD containing a complete version of the EJS software with which most of the calculations were accomplished. Encouraging a broader application of AI methods, this seminal work gives software designers a clearer picture of how scientists use AI and how to address those needs, and provides chemists, biologists, physicists, and others with the tools to increase the speed and efficiency of their work.

Author : Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara
Publisher : Springer Nature
Page : 231 pages
File Size : 42,6 Mb
Release : 2020-07-22
Category : Technology & Engineering
ISBN : 9783030545680

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) by Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara Pdf

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

Author : Vijai Singh
Publisher : Springer Nature
Page : 365 pages
File Size : 53,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789819984015

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Advances in Bioinformatics by Vijai Singh Pdf

Author : Ross Overbeek,Miguel P. Rocha,Florentino Fdez-Riverola,Juan F. De Paz
Publisher : Springer
Page : 148 pages
File Size : 40,8 Mb
Release : 2015-05-24
Category : Technology & Engineering
ISBN : 9783319197760

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9th International Conference on Practical Applications of Computational Biology and Bioinformatics by Ross Overbeek,Miguel P. Rocha,Florentino Fdez-Riverola,Juan F. De Paz Pdf

This proceedings presents recent practical applications of Computational Biology and Bioinformatics. It contains the proceedings of the 9th International Conference on Practical Applications of Computational Biology & Bioinformatics held at University of Salamanca, Spain, at June 3rd-5th, 2015. The International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) is an annual international meeting dedicated to emerging and challenging applied research in Bioinformatics and Computational Biology. Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences.

Author : Edward Keedwell,Ajit Narayanan
Publisher : John Wiley & Sons
Page : 294 pages
File Size : 44,6 Mb
Release : 2005-12-13
Category : Medical
ISBN : 9780470021767

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Intelligent Bioinformatics by Edward Keedwell,Ajit Narayanan Pdf

Bioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up ‘intelligent bioinformatics’. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested readers regardless of discipline. Three introductory chapters on biology, bioinformatics and the complexities of search and optimisation equip the reader with the necessary knowledge to proceed through the remaining eight chapters, each of which is dedicated to an intelligent technique in bioinformatics. The book also contains many links to software and information available on the internet, in academic journals and beyond, making it an indispensable reference for the 'intelligent bioinformatician'. Intelligent Bioinformatics will appeal to all postgraduate students and researchers in bioinformatics and genomics as well as to computer scientists interested in these disciplines, and all natural scientists with large data sets to analyse.

Author : Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Ana Belén Gil-González
Publisher : Springer Nature
Page : 113 pages
File Size : 42,5 Mb
Release : 2023-07-10
Category : Technology & Engineering
ISBN : 9783031380792

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Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023) by Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Ana Belén Gil-González Pdf

This book aims to promote the interaction among the scientific community to discuss applications of CS/AI with an interdisciplinary character, exploring the interactions between sub-areas of CS/AI, bioinformatics, chemoinformatics, and systems biology. The success of bioinformatics in recent years has been prompted by research in molecular biology and molecular medicine in several initiatives. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. The PACBB’23 technical program has selected 9 full papers in the main track and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the program committee, national associations (AEPIA, APPIA), and the sponsors (AIR Institute).

Author : Lilhore, Umesh Kumar,Kumar, Abhishek,Simaiya, Sarita,Vyas, Narayan,Dutt, Vishal
Publisher : IGI Global
Page : 418 pages
File Size : 49,9 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9798369318232

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Applying Machine Learning Techniques to Bioinformatics: Few-Shot and Zero-Shot Methods by Lilhore, Umesh Kumar,Kumar, Abhishek,Simaiya, Sarita,Vyas, Narayan,Dutt, Vishal Pdf

Why are cutting-edge data science techniques such as bioinformatics, few-shot learning, and zero-shot learning underutilized in the world of biological sciences?. In a rapidly advancing field, the failure to harness the full potential of these disciplines limits scientists’ ability to unlock critical insights into biological systems, personalized medicine, and biomarker identification. This untapped potential hinders progress and limits our capacity to tackle complex biological challenges. The solution to this issue lies within the pages of Applying Machine Learning Techniques to Bioinformatics. This book serves as a powerful resource, offering a comprehensive analysis of how these emerging disciplines can be effectively applied to the realm of biological research. By addressing these challenges and providing in-depth case studies and practical implementations, the book equips researchers, scientists, and curious minds with the knowledge and techniques needed to navigate the ever-changing landscape of bioinformatics and machine learning within the biological sciences.

Author : Sushmita Mitra,Sujay Datta,Theodore Perkins,George Michailidis
Publisher : CRC Press
Page : 386 pages
File Size : 52,7 Mb
Release : 2008-06-05
Category : Mathematics
ISBN : 9781420011784

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Introduction to Machine Learning and Bioinformatics by Sushmita Mitra,Sujay Datta,Theodore Perkins,George Michailidis Pdf

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.