The Analysis of Biological Data

Author: Michael Whitlock
Publisher: Roberts & Company
ISBN: 9781936221486
Format: PDF, ePub
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Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective. The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research. Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors.

Organische Chemie

Author: Kurt Peter C. Vollhardt
Publisher: John Wiley & Sons
ISBN: 3527327541
Format: PDF, ePub
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Besser Konzepte und Ideen der organischen Chemie verstehen, als eine Vielzahl von Fakten auswendig beherrschen! Diesem Motto bleibt der "Vollhardt/Schore" auch in der neuesten Auflage treu. Das neu gestaltete Layout, beispielhaft gelöste Übungsaufgaben und die deutlich erweiterten Verständnisübungen führen einprägsam an die Methodik zur Lösung organisch-chemischer Probleme heran. So werden nicht nur die stofflichen Grundlagen der organischen Chemie, sondern auch das "Gewusst wie" fast schon spielerisch vermittelt. Nicht nur für Chemiestudenten, auch für Biochemiker, Pharmazeuten, Biologen und Mediziner ist der "Vollhardt/Schore" der fachliche Grundstock für die organische Chemie.

S Plus for the Analysis of Biological Data

Author: Rhondda E. Jones
Publisher:
ISBN: 9780987514714
Format: PDF, ePub, Docs
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A manual to teach people to use the statistical software package S-Plus and to support the process of learning statistical concepts and methods. It is a useful workbook to accompany The Analysis of Biological Data by Whitlock and Schluter, published by Roberts and Co, Colorado.

Analysis of Biological Data

Author: Sanghamitra Bandyopadhyay
Publisher: World Scientific
ISBN: 9812708898
Format: PDF, ePub, Docs
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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.

kologie

Author: Thomas M. Smith
Publisher: Pearson Deutschland GmbH
ISBN: 9783827373137
Format: PDF, ePub, Docs
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Populations, ecosystems, species interactions, community.

A Primer in Biological Data Analysis and Visualization Using R

Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231537042
Format: PDF
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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.

Kompendium Systembiologie

Author: Andreas Kremling
Publisher: Springer-Verlag
ISBN: 3834886076
Format: PDF, ePub
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Das Buch beschreibt die Grundlagen der mathematischen Modellierung zellulärer Systeme. Nach einer Klassifikation von Modellen wird schwerpunktmäßig auf deterministische Modelle eingegangen und für alle relevanten zellulären Prozesse entsprechende Gleichungen angegeben. Anschließend werden eine Reihe von Verfahren zur Modellanalyse vorgestellt. Etwas kürzer werden Verfahren zum Reverse Engineering und zur Analyse von Netzwerkgraphen abgehandelt. Am Ende werden noch Verfahren der Parameteridentifikation besprochen.

Drogen

Author: Johann Hari
Publisher: S. Fischer Verlag
ISBN: 3104035687
Format: PDF, ePub, Docs
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»Hari vereint präzise Recherche mit einer zutiefst menschlichen Erzählung. Dieses Buch wird eine dringend notwendige Debatte auslösen.« Glenn Greenwald Der Krieg gegen die Drogen gilt inzwischen als gescheitert, der Handel mit Drogen ist ein blühendes Geschäft, alle Maßnahmen gegen den Konsum sind weitgehend erfolglos. Woran liegt das? Der britische Journalist Johann Hari begibt sich auf eine einzigartige Reise – von Brooklyn über Mexiko bis nach Deutschland – und erzählt die Geschichten derjenigen, deren Leben vom immerwährenden Kampf gegen Drogen geprägt ist: von Dealern, Süchtigen, Kartellmitgliedern, den Verlierern und Profiteuren. Mit seiner grandiosen literarischen Reportage schreibt Hari sowohl eine Geschichte des Krieges gegen Drogen als auch ein mitreißendes und streitbares Plädoyer zum Umdenken. »Hervorragender Journalismus, packend erzählt.« Naomi Klein »Phantastisch!« Noam Chomsky