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The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. To reach this unique audience;
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biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive;
Vergelijkbare producten zoals Hands-On Data Science for Biologists Using Python
biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive;
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Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this;
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;
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R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;
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Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on;
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Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data. Based on;
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Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis With;
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Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis;
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Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;
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Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;
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Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;
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Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis;
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Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;
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Modeling is fast becoming fundamental to understanding the processes that define biological systems. High-throughput technologies are;
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This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous;
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pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction;
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biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, before discussing the;
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A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency;
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sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel;
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Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as 'the bridge;
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Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts;
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methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered;
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specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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