Analysis And Visualization Of Biological Publication Data
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A Primer In Biological Data Analysis And Visualization Using R
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Author : Gregg Hartvigsen
language : en
Publisher: Columbia University Press
Release Date : 2014-02-18
A Primer In Biological Data Analysis And Visualization Using R written by Gregg Hartvigsen and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-18 with Education categories.
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.
Analysis Of Biological Data
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Author : Sanghamitra Bandyopadhyay
language : en
Publisher: World Scientific
Release Date : 2007
Analysis Of Biological Data written by Sanghamitra Bandyopadhyay and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however, they are scattered in different journals, conference proceedings and technical reports, thus causing inconvenience to readers, students and researchers. This book, unique in its nature, is aimed at providing a treatise in a unified framework, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. Interesting research articles from eminent scientists around the world are brought together in a systematic way such that the reader will be able to understand the issues and challenges in this domain, the existing ways of tackling them, recent trends, and future directions. This book is the first of its kind to bring together two important research areas, soft computing and bioinformatics, in order to demonstrate how the tools and techniques in the former can be used for efficiently solving several problems in the latter. Sample Chapter(s). Chapter 1: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (160 KB). Contents: Overview: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (H Tang & S Kim); An Introduction to Soft Computing (A Konar & S Das); Biological Sequence and Structure Analysis: Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound (J E Gallardo et al.); Classification of RNA Sequences with Support Vector Machines (J T L Wang & X Wu); Beyond String Algorithms: Protein Sequence Analysis Using Wavelet Transforms (A Krishnan & K-B Li); Filtering Protein Surface Motifs Using Negative Instances of Active Sites Candidates (N L Shrestha & T Ohkawa); Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction (G Pollastri et al.); In Silico Design of Ligands Using Properties of Target Active Sites (S Bandyopadhyay et al.); Gene Expression and Microarray Data Analysis: Inferring Regulations in a Genomic Network from Gene Expression Profiles (N Noman & H Iba); A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure (K Deb et al.); Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines (A Gupta et al.); Sophisticated Methods for Cancer Classification Using Microarray Data (S-B Cho & H-S Park); Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data (A Mukhopadhyay et al.). Readership: Graduate students and researchers in computer science, bioinformatics, computational and molecular biology, artificial intelligence, data mining, machine learning, electrical engineering, system science; researchers in pharmaceutical industries.
A Primer In Biological Data Analysis And Visualization Using R
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Author : Gregg Hartvigsen
language : en
Publisher: Columbia University Press
Release Date : 2021-06-29
A Primer In Biological Data Analysis And Visualization Using R written by Gregg Hartvigsen and has been published by Columbia University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-29 with Science categories.
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of correctly entering and analyzing data and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normally distributed data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter outlining algorithms and the art of programming using R. This second edition has been revised to be current with the versions of R software released since the book’s original publication. It features updated terminology, sources, and examples throughout.
Analysis And Visualization Of Biological Publication Data
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Author : Maren Lang
language : en
Publisher: diplom.de
Release Date : 2008-01-30
Analysis And Visualization Of Biological Publication Data written by Maren Lang and has been published by diplom.de this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-30 with Computers categories.
Inhaltsangabe:Abstract: The content of today s World Wide Web is semantically not well structured. Every-thing is built for people and the data is therefore machine-readable but not machine- understandable. The semantic Web provides a solution for this problem through a new form of content structure. One technology for developing the Semantic Web is the Resource Description Framework (RDF). RDF is a language for representing information about resources in the World Wide Web and is particularly intended for representing metadata about Web resources. Therefore RDF provides interoperability between applications that exchange machine-understandable information on the Web. In this work, existing biological publication data which is stored in an object-relational database, is transformed into data represented in RDF. With the newly created RDF model it is possible to make a new way of queries, not only key word searching, but also queries with semantic sense. The additional advantage oft his representation is that it can be described not only in triples or XML structure but also in directed graphs. The World Wide Web provides documents that are built for human usage. There are formats like HTML, SVG and other extensions like Javascript or Javaapplets which are made for representing information. The content is semantically not well structured. These documents are structured for their presentation and are meant for people rather than computer which process data and information automatically. Everything is built for people and the data therefore is machine-readable but not machine-understandable. The Semantic Web provides a solution for this problem through a new form of structuring the content of the Web. It is not a separate Web but an extension of the existing one. There is, beside the documents of the Web, well defined additional information, which the computer is able to exploit automatically. This will give search engines more selective results as answer to the user enquired queries. Current search engines normally provide a big quantity of results to which the user has not or hardly referred initially. Their criteria of assigning a document to the set of relevant documents are the occurrences of one or several keywords. The results could be more precise if additional information which concerns the question would be considered. For example if somebody searches a document of mister Miller, the search engine could take into account, that one [...]
Data Analysis And Visualization In Genomics And Proteomics
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Author : Francisco Azuaje
language : en
Publisher: John Wiley & Sons
Release Date : 2005-06-24
Data Analysis And Visualization In Genomics And Proteomics written by Francisco Azuaje and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-24 with Science categories.
Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scale Places emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems
Bioimage Data Analysis Workflows
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Author : Kota Miura
language : en
Publisher: Springer Nature
Release Date : 2019-10-17
Bioimage Data Analysis Workflows written by Kota Miura and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-17 with Medical categories.
This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows. The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.
11th International Meeting On Visualizing Biological Data Vizbi 2021
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Author : Sean O’Donoghue
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-16
11th International Meeting On Visualizing Biological Data Vizbi 2021 written by Sean O’Donoghue and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Science categories.
Analyzing Network Data In Biology And Medicine
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Author : Nataša Pržulj
language : en
Publisher: Cambridge University Press
Release Date : 2019-03-28
Analyzing Network Data In Biology And Medicine written by Nataša Pržulj and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with Language Arts & Disciplines categories.
Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.
Issues In Life Sciences Molecular Biology 2011 Edition
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Author :
language : en
Publisher: ScholarlyEditions
Release Date : 2012-01-09
Issues In Life Sciences Molecular Biology 2011 Edition written by and has been published by ScholarlyEditions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-09 with Science categories.
Issues in Life Sciences: Molecular Biology / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Life Sciences—Molecular Biology. The editors have built Issues in Life Sciences: Molecular Biology: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Life Sciences—Molecular Biology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Life Sciences: Molecular Biology: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Data Integration In The Life Sciences
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Author : Sören Auer
language : en
Publisher: Springer
Release Date : 2018-12-29
Data Integration In The Life Sciences written by Sören Auer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-29 with Computers categories.
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.