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| Author | : Christine Froidevaux |
| Publisher | : John Wiley & Sons |
| Total Pages | : 292 |
| Release | : 2024-01-11 |
| Genre | : Computers |
| ISBN | : 1789450306 |
Download Biological Data Integration Book in PDF, ePub and Kindle
The study of biological data is constantly undergoing profound changes. Firstly, the volume of data available has increased considerably due to new high throughput techniques used for experiments. Secondly, the remarkable progress in both computational and statistical analysis methods and infrastructures has made it possible to process these voluminous data. The resulting challenge concerns our ability to integrate these data, i.e. to use their complementary nature effectively in the hope of advancing our knowledge. Therefore, a major challenge in studying biology today is integrating data for the most exhaustive analysis possible. Biological Data Integration deals in a pedagogical way with research work in biological data science, examining both computational approaches to data integration and statistical approaches to the integration of omics data
| Author | : Kim-Anh Lê Cao |
| Publisher | : CRC Press |
| Total Pages | : 316 |
| Release | : 2021-11-08 |
| Genre | : Computers |
| ISBN | : 1000472191 |
Download Multivariate Data Integration Using R Book in PDF, ePub and Kindle
Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for high-throughput biological data, with a specific focus on data integration. It starts with some biological background, key concepts underlying the multivariate methods, and then covers an array of methods implemented using the mixOmics package in R. Features: Provides a broad and accessible overview of methods for multi-omics data integration Covers a wide range of multivariate methods, each designed to answer specific biological questions Includes comprehensive visualisation techniques to aid in data interpretation Includes many worked examples and case studies using real data Includes reproducible R code for each multivariate method, using the mixOmics package The book is suitable for researchers from a wide range of scientific disciplines wishing to apply these methods to obtain new and deeper insights into biological mechanisms and biomedical problems. The suite of tools introduced in this book will enable students and scientists to work at the interface between, and provide critical collaborative expertise to, biologists, bioinformaticians, statisticians and clinicians.
| Author | : Patrick Lambrix |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 224 |
| Release | : 2010-08-11 |
| Genre | : Science |
| ISBN | : 3642151191 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
The development and increasingly widespread deployment of high-throughput experimental methods in the life sciences is giving rise to numerous large, c- plex and valuable data resources. This foundation of experimental data und- pins the systematic study of organismsand diseases, which increasinglydepends on the development of models of biological systems. The development of these models often requires integration of diverse experimental data resources; once constructed, the models themselves become data and present new integration challenges for tasks such as interpretation, validation and comparison. The Data Integration in the Life Sciences (DILS) Conference series brings together data and knowledge management researchers from the computer s- ence research community with bioinformaticians and computational biologists, to improve the understanding of how emerging data integration techniques can address requirements identi?ed in the life sciences. DILS 2010 was the seventh event in the series and was held in Goth- burg, Sweden during August 25–27, 2010. The associated proceedings contain 14 peer-reviewed papers and 2 invited papers. The sessions addressed ontology engineering, and in particular, evolution, matching and debugging of ontologies, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and recognizing biomedical entities and relationships between these entities; and information management, introducing data integration solutions for di?erent types of applications related to cancer, systems biology and - croarray experimental data, and an approach for integrating ranked data in the life sciences.
| Author | : Bertram Ludäscher |
| Publisher | : Springer |
| Total Pages | : 355 |
| Release | : 2005-08-25 |
| Genre | : Computers |
| ISBN | : 3540318798 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
The workshop was organized by the San Diego Supercomputer Center (SDSC) and took place July 20 –22, 2005 at the University of California, San Diego.
| Author | : Sarah Cohen-Boulakia |
| Publisher | : Springer |
| Total Pages | : 291 |
| Release | : 2007-06-30 |
| Genre | : Computers |
| ISBN | : 3540732551 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 4th International Workshop on Data Integration in the Life Sciences, DILS 2007, held in Philadelphia, PA, USA in July 2007. It covers new architectures and experience on using systems, managing and designing scientific workflows, mapping and matching techniques, modeling of life science data, and annotation in data integration.
| Author | : Erhard Rahm |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 230 |
| Release | : 2004-03-18 |
| Genre | : Computers |
| ISBN | : 3540213007 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the First International Workshop on Data Integration in the Life Sciences, DILS 2004, held in Leipzig, Germany, in March 2004. The 13 revised full papers and 2 revised short papers presented were carefully reviewed and selected from many submissions. The papers are organized in topical sections on scientific and clinical workflows, ontologies and taxonomies, indexing and clustering, integration tools and systems, and integration techniques.
| 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 | : Amos Bairoch |
| Publisher | : Springer |
| Total Pages | : 221 |
| Release | : 2008-06-17 |
| Genre | : Medical |
| ISBN | : 3540698280 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing complex, voluminous, and heterogeneous data and guiding the analysis of data are thus of paramount importance and necessitate the involvement of data integration techniques. DILS 2008 was the ?fth in a workshop series that aims at fostering disc- sion, exchange, and innovation in research and development in the area of data integration for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world and saw an increase of submitted - pers over the preceding one. This year was not an exception and the number of submitted papers increased to 54. The ProgramCommittee selected 18 of them. The selected papers cover a wide spectrum of theoretical and practical issues including data annotation, Semantic Web for the life sciences, and data mining on integrated biological data.
| Author | : Sören Auer |
| Publisher | : Springer |
| Total Pages | : 218 |
| Release | : 2018-12-29 |
| Genre | : Computers |
| ISBN | : 3030060160 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
This book constitutes revised selected papers from the 13th International Conference on Data Integration in the Life Sciences, DILS 2018, held in Hannover, Germany, in November 2018. The 5 full, 8 short, 3 poster and 4 demo papers presented in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections named: big biomedical data integration and management; data exploration in the life sciences; biomedical data analytics; and big biomedical applications.
| Author | : Sarah Cohen-Boulakia |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 221 |
| Release | : 2008-06-11 |
| Genre | : Computers |
| ISBN | : 3540698272 |
Download Data Integration in the Life Sciences Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008. The 18 revised full papers presented together with 3 keynote talks and a tutorial paper were carefully reviewed and selected from 54 submissions. The papers adress all current issues in data integration and data management from the life science point of view and are organized in topical sections on Semantic Web for the life sciences, designing and evaluating architectures to integrate biological data, new architectures and experience on using systems, systems using technologies from the Semantic Web for the life sciences, mining integrated biological data, and new features of major resources for biomolecular data.
