Unsupervised Feature Extraction Applied To Bioinformatics
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Author | : Y-h. Taguchi |
Publisher | : Springer Nature |
Total Pages | : 321 |
Release | : 2019-08-23 |
Genre | : Technology & Engineering |
ISBN | : 3030224562 |
Download Unsupervised Feature Extraction Applied to Bioinformatics Book in PDF, Epub and Kindle
This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples are available. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features; Provides a fast algorithm, based upon linear algebra, to analyze big data; Includes several applications to multi-view data analyses, with a focus on bioinformatics.
Author | : Y-h. Taguchi |
Publisher | : Springer Nature |
Total Pages | : 542 |
Release | : |
Genre | : |
ISBN | : 3031609824 |
Download Unsupervised Feature Extraction Applied to Bioinformatics Book in PDF, Epub and Kindle
Author | : Jeffrey J P Tsai |
Publisher | : World Scientific |
Total Pages | : 207 |
Release | : 2019-10-14 |
Genre | : Computers |
ISBN | : 9811203598 |
Download Application Of Omics, Ai And Blockchain In Bioinformatics Research Book in PDF, Epub and Kindle
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.
Author | : Jeffrey J P Tsai |
Publisher | : World Scientific |
Total Pages | : 233 |
Release | : 2017-06-09 |
Genre | : Science |
ISBN | : 981320799X |
Download Computational Methods With Applications In Bioinformatics Analysis Book in PDF, Epub and Kindle
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Author | : De-Shuang Huang |
Publisher | : Springer |
Total Pages | : 802 |
Release | : 2019-07-30 |
Genre | : Computers |
ISBN | : 3030267636 |
Download Intelligent Computing Theories and Application Book in PDF, Epub and Kindle
This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology.
Author | : Shandar Ahmad |
Publisher | : Frontiers Media SA |
Total Pages | : 103 |
Release | : 2020-10-23 |
Genre | : Technology & Engineering |
ISBN | : 2889660907 |
Download Intelligent Systems for Genome Functional Annotations Book in PDF, Epub and Kindle
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Author | : Y-h. Taguchi |
Publisher | : MDPI |
Total Pages | : 348 |
Release | : 2019-04-16 |
Genre | : Science |
ISBN | : 3038977683 |
Download Regulatory microRNA Book in PDF, Epub and Kindle
This book includes updated information about microRNA regulation, for example, in the fields of circular RNAs, multiomics analysis, biomarkers and oncogenes. The variety of topics included in this book reaffirms the extent to which microRNA regulation affects biological processes. Although microRNAs are not translated to proteins, their importance for biological processes is not less than proteins. An understanding of their roles in various biological processes is critical to understanding gene function in these biological processes. Although non-coding RNAs other than microRNAs have recently come under investigation, microRNA still remains the front runner as the subject of genetic and biological studies. In reading the collection of papers, readers can grasp the most updated information regarding microRNA regulation, which will continue to be an important topic in genetics and biology.
Author | : Sanjiban Sekhar Roy |
Publisher | : Springer Nature |
Total Pages | : 222 |
Release | : 2022-06-23 |
Genre | : Technology & Engineering |
ISBN | : 9811691584 |
Download Handbook of Machine Learning Applications for Genomics Book in PDF, Epub and Kindle
Currently, machine learning is playing a pivotal role in the progress of genomics. The applications of machine learning are helping all to understand the emerging trends and the future scope of genomics. This book provides comprehensive coverage of machine learning applications such as DNN, CNN, and RNN, for predicting the sequence of DNA and RNA binding proteins, expression of the gene, and splicing control. In addition, the book addresses the effect of multiomics data analysis of cancers using tensor decomposition, machine learning techniques for protein engineering, CNN applications on genomics, challenges of long noncoding RNAs in human disease diagnosis, and how machine learning can be used as a tool to shape the future of medicine. More importantly, it gives a comparative analysis and validates the outcomes of machine learning methods on genomic data to the functional laboratory tests or by formal clinical assessment. The topics of this book will cater interest to academicians, practitioners working in the field of functional genomics, and machine learning. Also, this book shall guide comprehensively the graduate, postgraduates, and Ph.D. scholars working in these fields.
Author | : Sudeep Tanwar |
Publisher | : Academic Press |
Total Pages | : 530 |
Release | : 2022-05-20 |
Genre | : Computers |
ISBN | : 0323908292 |
Download Blockchain Applications for Healthcare Informatics Book in PDF, Epub and Kindle
Blockchain Applications for Healthcare Informatics: Beyond 5G offers a comprehensive survey of 5G-enabled technology in healthcare applications. This book investigates the latest research in blockchain technologies and seeks to answer some of the practical and methodological questions surrounding privacy and security in healthcare. It explores the most promising aspects of 5G for healthcare industries, including how hospitals and healthcare systems can do better. Chapters investigate the detailed framework needed to maintain security and privacy in 5G healthcare services using blockchain technologies, along with case studies that look at various performance evaluation metrics, such as privacy preservation, scalability and healthcare legislation. Introduces the basic architecture and taxonomy of 5G-enabled blockchain technology Analyzes issues and challenges surrounding 5G-enabled blockchain-based systems in healthcare Investigates blockchain-based healthcare applications such as telemedicine, telesurgery, remote patient monitoring, networking of the Internet of Medical Things, and augmented and virtual realty tools for training in complex medical scenarios Includes case studies and real-world examples in each chapter to demonstrate the adoption of 5G-enabled blockchain technology across various healthcare domains
Author | : Thuy T. Pham |
Publisher | : Springer |
Total Pages | : 114 |
Release | : 2018-08-23 |
Genre | : Technology & Engineering |
ISBN | : 3319986759 |
Download Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings Book in PDF, Epub and Kindle
This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.