Advanced AI Techniques and Applications in Bioinformatics

Advanced AI Techniques and Applications in Bioinformatics
Author: Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publsiher: CRC Press
Total Pages: 282
Release: 2021-10-18
ISBN: 100046301X
Category: Computers
Language: EN, FR, DE, ES & NL

Advanced AI Techniques and Applications in Bioinformatics Book Excerpt:

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

Artificial Intelligence in Bioinformatics

Artificial Intelligence in Bioinformatics
Author: Mario Cannataro,Pietro Hiram Guzzi,Giuseppe Agapito,Chiara Zucco,Marianna Milano
Publsiher: Elsevier
Total Pages: 268
Release: 2022-05-25
ISBN: 0128229292
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Bioinformatics Book Excerpt:

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences Brings readers up-to-speed on current trends and methods in a dynamic and growing field Provides academic teachers with a complete resource, covering fundamental concepts as well as applications

Artificial Intelligence in Bioinformatics and Drug Repurposing Methods and Applications

Artificial Intelligence in Bioinformatics and Drug Repurposing  Methods and Applications
Author: Pan Zheng,Shudong Wang,Xun Wang,Xiangxiang Zeng
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2022-04-08
ISBN: 2889748812
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Bioinformatics and Drug Repurposing Methods and Applications Book Excerpt:

Intelligent Bioinformatics

Intelligent Bioinformatics
Author: Edward Keedwell,Ajit Narayanan
Publsiher: John Wiley & Sons
Total Pages: 294
Release: 2005-12-13
ISBN: 0470021764
Category: Medical
Language: EN, FR, DE, ES & NL

Intelligent Bioinformatics Book Excerpt:

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.

https www frontiersin org research topics 9029 artificial intelligence bioinformatics development and application of tools for omics and inter omic

https   www frontiersin org research topics 9029 artificial intelligence bioinformatics development and application of tools for omics and inter omic
Author: Angelo Facchiano,Dominik Heider,Davide Chicco
Publsiher: Frontiers Media SA
Total Pages: 175
Release: 2020-06-18
ISBN: 2889637522
Category: Electronic Book
Language: EN, FR, DE, ES & NL

https www frontiersin org research topics 9029 artificial intelligence bioinformatics development and application of tools for omics and inter omic Book Excerpt:

Artificial Intelligence in Bioinformatics

Artificial Intelligence in Bioinformatics
Author: Dave W. Corne
Publsiher: Unknown
Total Pages: 95
Release: 2001
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Bioinformatics Book Excerpt:

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Author: Yi Pan,Jianxin Wang,Min Li
Publsiher: John Wiley & Sons
Total Pages: 536
Release: 2013-11-12
ISBN: 1118345789
Category: Medical
Language: EN, FR, DE, ES & NL

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics Book Excerpt:

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Impact of Artificial Intelligence on Bioinformatics

Impact of Artificial Intelligence on Bioinformatics
Author: Kiran Sree Pokkuluri,S. S. S. N Usha Devi Nedunuri,Mohan R.
Publsiher: Unknown
Total Pages: 68
Release: 2016-08-14
ISBN: 9783659882029
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Impact of Artificial Intelligence on Bioinformatics Book Excerpt:

Artificial Intelligence and Heuristic Methods in Bioinformatics

Artificial Intelligence and Heuristic Methods in Bioinformatics
Author: Paolo Frasconi,Ron Shamir
Publsiher: Unknown
Total Pages: 243
Release: 2003
ISBN: 1928374650XXX
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Heuristic Methods in Bioinformatics Book Excerpt:

The 14 papers consider how various methods in artificial intelligence are applied to problems in bioinformatics. Among the topics are statistical learning and kernel methods in bioinformatics, new machine learning methods for predicting protein topologies, multiple sequence alignments information in structure and function prediction, pattern discovery and the algorithms of surprise, the computational identification of regulatory sites in DNA sequences, computer system gene discovery for promoter structure analysis, and data acquisition and analysis in near-genome-wide expressions screening of tumor suppressor pathways using model cell lines with inducible transcription factors. There is no subject index. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com).

Distributed Computing Artificial Intelligence Bioinformatics Soft Computing and Ambient Assisted Living

Distributed Computing  Artificial Intelligence  Bioinformatics  Soft Computing  and Ambient Assisted Living
Author: Sigeru Omatu,Miguel P. Rocha,Florentino Fdez Riverola,Jose Bravo,Emilio Corchado,Juan Manuel Corchado Rodríguez,Andrés Bustillo
Publsiher: Springer Science & Business Media
Total Pages: 1305
Release: 2009-06-08
ISBN: 3642024807
Category: Computers
Language: EN, FR, DE, ES & NL

Distributed Computing Artificial Intelligence Bioinformatics Soft Computing and Ambient Assisted Living Book Excerpt:

This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009. The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.

Encyclopedia of Artificial Intelligence

Encyclopedia of Artificial Intelligence
Author: Juan Ramon Rabunal,Julian Dorado,Alejandro Pazos Sierra
Publsiher: IGI Global
Total Pages: 1640
Release: 2009-01-01
ISBN: 1599048507
Category: Computers
Language: EN, FR, DE, ES & NL

Encyclopedia of Artificial Intelligence Book Excerpt:

"This book is a comprehensive and in-depth reference to the most recent developments in the field covering theoretical developments, techniques, technologies, among others"--Provided by publisher.

A Guided Tour of Artificial Intelligence Research

A Guided Tour of Artificial Intelligence Research
Author: Pierre Marquis,Odile Papini,Henri Prade
Publsiher: Springer Nature
Total Pages: 575
Release: 2020-05-08
ISBN: 3030061701
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

A Guided Tour of Artificial Intelligence Research Book Excerpt:

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.

11th International Conference on Practical Applications of Computational Biology Bioinformatics

11th International Conference on Practical Applications of Computational Biology   Bioinformatics
Author: Florentino Fdez-Riverola,Mohd Saberi Mohamad,Miguel Rocha,Juan F. De Paz,Tiago Pinto
Publsiher: Springer
Total Pages: 330
Release: 2017-06-19
ISBN: 3319608169
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

11th International Conference on Practical Applications of Computational Biology Bioinformatics Book Excerpt:

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 constantly evolving, distinct types of omics data technologies, have created 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 and requires tools from the computational sciences. In the last few years, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance in boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. The PACBB’17 conference was intended to contribute to this effort and promote this fruitful interaction, with a technical program that included 39 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Further, the conference promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists).

Practical Applications of Computational Biology and Bioinformatics 13th International Conference

Practical Applications of Computational Biology and Bioinformatics  13th International Conference
Author: Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón
Publsiher: Springer
Total Pages: 184
Release: 2019-06-21
ISBN: 3030238733
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Practical Applications of Computational Biology and Bioinformatics 13th International Conference Book Excerpt:

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

Application Of Omics Ai And Blockchain In Bioinformatics Research

Application Of Omics  Ai And Blockchain In Bioinformatics Research
Author: Tsai Jeffrey J P,Ng Ka-lok
Publsiher: World Scientific
Total Pages: 208
Release: 2019-10-14
ISBN: 9811203598
Category: Computers
Language: EN, FR, DE, ES & NL

Application Of Omics Ai And Blockchain In Bioinformatics Research Book Excerpt:

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.

Special Issue Artificial Intelligence in Bioinformatics

Special Issue Artificial Intelligence in Bioinformatics
Author: David Corne
Publsiher: Unknown
Total Pages: 95
Release: 2001
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Special Issue Artificial Intelligence in Bioinformatics Book Excerpt:

6th International Conference on Practical Applications of Computational Biology Bioinformatics

6th International Conference on Practical Applications of Computational Biology   Bioinformatics
Author: Miguel P. Rocha,Nicholas Luscombe,Florentino Fdez-Riverola,Juan M. Corchado Rodríguez
Publsiher: Springer Science & Business Media
Total Pages: 286
Release: 2012-03-05
ISBN: 3642288391
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

6th International Conference on Practical Applications of Computational Biology Bioinformatics Book Excerpt:

The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘12 hopes to contribute to this effort promoting this fruitful interaction. PACBB'12 technical program included 32 papers from a submission pool of 61 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the participants.

Molecular Bioinformatics

Molecular Bioinformatics
Author: Steffen Schulze-Kremer
Publsiher: Walter de Gruyter
Total Pages: 315
Release: 1996-01-01
ISBN: 3110808919
Category: Science
Language: EN, FR, DE, ES & NL

Molecular Bioinformatics Book Excerpt:

Biomedical Data Mining for Information Retrieval

Biomedical Data Mining for Information Retrieval
Author: Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2021-08-24
ISBN: 111971124X
Category: Computers
Language: EN, FR, DE, ES & NL

Biomedical Data Mining for Information Retrieval Book Excerpt:

This book comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient's data, electronic health records (EHRs) and lifestyle. Previously it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical Image Mining, a novel research area, due to its large amount of biomedical images increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients' biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients.

Computation in BioInformatics

Computation in BioInformatics
Author: S. Balamurugan,Anand T. Krishnan,Dinesh Goyal,Balakumar Chandrasekaran,Boomi Pandi
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2021-10-05
ISBN: 1119654769
Category: Computers
Language: EN, FR, DE, ES & NL

Computation in BioInformatics Book Excerpt:

COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.