Methodologies Of Multi Omics Data Integration And Data Mining PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Methodologies Of Multi Omics Data Integration And Data Mining PDF full book. Access full book title Methodologies Of Multi Omics Data Integration And Data Mining.
| Author | : Kang Ning |
| Publisher | : Springer Nature |
| Total Pages | : 173 |
| Release | : 2023-01-15 |
| Genre | : Medical |
| ISBN | : 9811982104 |
Download Methodologies of Multi-Omics Data Integration and Data Mining Book in PDF, ePub and Kindle
This book features multi-omics big-data integration and data-mining techniques. In the omics age, paramount of multi-omics data from various sources is the new challenge we are facing, but it also provides clues for several biomedical or clinical applications. This book focuses on data integration and data mining methods for multi-omics research, which explains in detail and with supportive examples the “What”, “Why” and “How” of the topic. The contents are organized into eight chapters, out of which one is for the introduction, followed by four chapters dedicated for omics integration techniques focusing on several omics data resources and data-mining methods, and three chapters dedicated for applications of multi-omics analyses with application being demonstrated by several data mining methods. This book is an attempt to bridge the gap between the biomedical multi-omics big data and the data-mining techniques for the best practice of contemporary bioinformatics and the in-depth insights for the biomedical questions. It would be of interests for the researchers and practitioners who want to conduct the multi-omics studies in cancer, inflammation disease, and microbiome researches.
| Author | : Abedalrhman Alkhateeb |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2024 |
| Genre | : |
| ISBN | : 9783031365041 |
Download Machine Learning Methods for Multi-omics Data Integration Book in PDF, ePub and Kindle
| Author | : Thorsten Joachims |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 218 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461509076 |
Download Learning to Classify Text Using Support Vector Machines Book in PDF, ePub and Kindle
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with theoretical understanding and improved robustness. In particular, it is highly effective without greedy heuristic components. The SVM approach is computationally efficient in training and classification, and it comes with a learning theory that can guide real-world applications. Learning To Classify Text Using Support Vector Machines gives a complete and detailed description of the SVM approach to learning text classifiers, including training algorithms, transductive text classification, efficient performance estimation, and a statistical learning model of text classification. In addition, it includes an overview of the field of text classification, making it self-contained even for newcomers to the field. This book gives a concise introduction to SVMs for pattern recognition, and it includes a detailed description of how to formulate text-classification tasks for machine learning.
| Author | : Gary Hardiman |
| Publisher | : MDPI |
| Total Pages | : 202 |
| Release | : 2020-04-15 |
| Genre | : Science |
| ISBN | : 3039287443 |
Download Systems Analytics and Integration of Big Omics Data Book in PDF, ePub and Kindle
A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.
| Author | : Maulin P. Shah |
| Publisher | : Elsevier |
| Total Pages | : 429 |
| Release | : 2024-05-24 |
| Genre | : Technology & Engineering |
| ISBN | : 0443135622 |
Download Emerging Innovative Trends in the Application of Biological Processes for Industrial Wastewater Treatment Book in PDF, ePub and Kindle
Emerging Innovative Trends in the Application of Biological Processes for Industrial Wastewater Treatment discusses new and emerging innovative trends in the application of biological processes in industrial wastewater treatment. It also includes the fate of chemicals produced after the treatment process both at the laboratory scale and at the industrial scale. This book explores the unique biological aspects of the wastewater treatment process and highlights the advantages they provide for engineering applications in the industries. Each chapter covers a different biological-based approach and examines the basic principles, practical applications, recent breakthroughs, and associated limitations. Emerging Innovative Trends in the Application of Biological Processes for Industrial Wastewater Treatment also provides in-depth knowledge on the biological process for application in wastewater research which presents an array of cutting-edge wastewater treatment research and thereafter its applications in treatment, remediation, sensing, and pollution prevention processes which has a significant impact on maintaining the long-term quality, availability, and viability of water. Serves as an easy-to-use guider manual for all the enlisted smart techniques Describes and discusses the emerging futuristic technologies in industrial pollutants removal from wastewater Covers advancements in biological treatments, advanced oxidation techniques, and membrane technology to remove water pollutants
| Author | : Sumeet Dua |
| Publisher | : CRC Press |
| Total Pages | : 351 |
| Release | : 2012-11-06 |
| Genre | : Computers |
| ISBN | : 1466588667 |
Download Data Mining for Bioinformatics Book in PDF, ePub and Kindle
Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to he
| Author | : Chiara Romualdi |
| Publisher | : Frontiers Media SA |
| Total Pages | : 187 |
| Release | : 2020-12-03 |
| Genre | : Medical |
| ISBN | : 2889661512 |
Download Multi-omic Data Integration in Oncology 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 | : Miguel Fernández-Niño |
| Publisher | : |
| Total Pages | : |
| Release | : 2022 |
| Genre | : Genetic engineering |
| ISBN | : 9781839696398 |
Download Synthetic Genomics Book in PDF, ePub and Kindle
| Author | : J. Jost |
| Publisher | : Birkhäuser |
| Total Pages | : 581 |
| Release | : 2013-11-11 |
| Genre | : Science |
| ISBN | : 3034891180 |
Download DNA Methylation Book in PDF, ePub and Kindle
The occurrence of 5-methylcytosine in DNA was first described in 1948 by Hotchkiss (see first chapter). Recognition of its possible physiologi cal role in eucaryotes was first suggested in 1964 by Srinivasan and Borek (see first chapter). Since then work in a great many laboratories has established both the ubiquity of 5-methylcytosine and the catholicity of its possible regulatory function. The explosive increase in the number of publications dealing with DNA methylation attests to its importance and makes it impossible to write a comprehensive coverage of the literature within the scope of a general review. Since the publication of the 3 most recent books dealing with the subject (DNA methylation by Razin A. , Cedar H. and Riggs A. D. , 1984 Springer Verlag; Molecular Biology of DNA methylation by Adams R. L. P. and Burdon R. H. , 1985 Springer Verlag; Nucleic Acids Methylation, UCLA Symposium suppl. 128, 1989) considerable progress both in the techniques and results has been made in the field of DNA methylation. Thus we asked several authors to write chapters dealing with aspects of DNA methyla tion in which they are experts. This book should be most useful for students, teachers as well as researchers in the field of differentiation and gene regulation. We are most grateful to all our colleagues who were willing to spend much time and effort on the publication of this book. We also want to express our gratitude to Yan Chim Jost for her help in preparing this book.
| Author | : Daniel Neagu |
| Publisher | : Royal Society of Chemistry |
| Total Pages | : 289 |
| Release | : 2019-12-04 |
| Genre | : Medical |
| ISBN | : 1839160829 |
Download Big Data in Predictive Toxicology Book in PDF, ePub and Kindle
The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources. However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science. It addresses the nature of toxicological big data, their storage, analysis and interpretation. It also details how these data can be applied in toxicity prediction, modelling and risk assessment. This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
