Model Based Cluster Analysis Of Microarray Gene Expression Data
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Model Based Cluster Analysis Of Microarray Gene Expression Data
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Author : Yi Qu
language : en
Publisher:
Release Date : 2005
Model Based Cluster Analysis Of Microarray Gene Expression Data written by Yi Qu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Cluster analysis categories.
Analyzing Microarray Gene Expression Data
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Author : Geoffrey J. McLachlan
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-18
Analyzing Microarray Gene Expression Data written by Geoffrey J. McLachlan 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 2005-02-18 with Mathematics categories.
A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease
Approaches To Find The Functionally Related Experiments Based On Enrichment Scores
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Author : Qian Li
language : en
Publisher:
Release Date : 2013
Approaches To Find The Functionally Related Experiments Based On Enrichment Scores written by Qian Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
DNA microarray is a widely used high-throughput technology to measure theexpression level of tens of thousands of genes simultaneously. With increasingavailability of microarray genomics data, various clustering algorithms have beenexplored to identify the latent patterns in gene expression data as well as discoverdisease subtypes. Interesting connections that can be founded correlatingdifferential-expressed genes evidence to other biological information are very importantin developing a full picture of the biological pathways as well as in givinginsightful suggestions to the new conducted experiments. The abundant biologicalinformation we need to identify the disease signature is organized in the functionalcategories. Thus, relating the microarray experiments to the functional categoriescould lead to a better understanding of the underlying biological process and helpdevelop targeted treatment to a specific disease. In this dissertation, we investigatedseveral Dirichlet process mixture (DPM) model based clustering methods that explicitlyaccount for interactions across the functional category enrichment scoresfor improved sample clustering. Our clustering method represents microarray dataenrichment score profiles as multivariate Gaussian random variables with structuredor unstructured correlation. Also we demonstrate by a simulation study thatwhen correlation exist, our algorithm will outperform the other clustering algorithmassume independence. Furthermore, factor analysis based clustering procedure isdeveloped to search for the correct underlying correlation pattern and we optimizethe number of factors using the Metropolised Carlin and Chib method based modelselection algorithm. In such a way, we reduce the number of parameters to beestimated in the unstructured covariance matrix model and also incorporate the unknownvariance-covariance structure across different functional categories. Themain contributions of our approaches are the ability to incorporate the correlationbetween the functional categories, as well as detect the latent factor structures. Weapply this method to Juvenile Rheumatoid Arthritis (JRA) microarray data, andfound our method has better predicting power of patients disease subtype over theother methods compared.
Handbook Of Statistics In Clinical Oncology Third Edition
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Author : John Crowley
language : en
Publisher: CRC Press
Release Date : 2012-03-26
Handbook Of Statistics In Clinical Oncology Third Edition written by John Crowley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-26 with Mathematics categories.
Many new challenges have arisen in the area of oncology clinical trials. New cancer therapies are often based on cytostatic or targeted agents, which pose new challenges in the design and analysis of all phases of trials. The literature on adaptive trial designs and early stopping has been exploding. Inclusion of high-dimensional data and imaging techniques have become common practice, and statistical methods on how to analyse such data have been refined in this area. A compilation of statistical topics relevant to these new advances in cancer research, this third edition of Handbook of Statistics in Clinical Oncology focuses on the design and analysis of oncology clinical trials and translational research. Addressing the many challenges that have arisen since the publication of its predecessor, this third edition covers the newest developments involved in the design and analysis of cancer clinical trials, incorporating updates to all four parts: Phase I trials: Updated recommendations regarding the standard 3 + 3 and continual reassessment approaches, along with new chapters on phase 0 trials and phase I trial design for targeted agents. Phase II trials: Updates to current experience in single-arm and randomized phase II trial designs. New chapters include phase II designs with multiple strata and phase II/III designs. Phase III trials: Many new chapters include interim analyses and early stopping considerations, phase III trial designs for targeted agents and for testing the ability of markers, adaptive trial designs, cure rate survival models, statistical methods of imaging, as well as a thorough review of software for the design and analysis of clinical trials. Exploratory and high-dimensional data analyses: All chapters in this part have been thoroughly updated since the last edition. New chapters address methods for analyzing SNP data and for developing a score based on gene expression data. In addition, chapters on risk calculators and forensic bioinformatics have been added. Accessible to statisticians and oncologists interested in clinical trial methodology, the book is a single-source collection of up-to-date statistical approaches to research in clinical oncology.
Bayesian Inference For Gene Expression And Proteomics
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Author : Kim-Anh Do
language : en
Publisher: Cambridge University Press
Release Date : 2006-07-24
Bayesian Inference For Gene Expression And Proteomics written by Kim-Anh Do 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 2006-07-24 with Mathematics categories.
Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation.
Handbook Of Statistics In Clinical Oncology
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Author : John Crowley
language : en
Publisher: CRC Press
Release Date : 2005-12-01
Handbook Of Statistics In Clinical Oncology written by John Crowley and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-01 with Mathematics categories.
A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, Handbook of Statistics in Clinical Oncology, Second Edition focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods. Cancer Forum called the first edition a
Microrna Cancer Regulation
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Author : Ulf Schmitz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-02-03
Microrna Cancer Regulation written by Ulf Schmitz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-03 with Medical categories.
This edited reflects the current state of knowledge about the role of microRNAs in the formation and progression of solid tumours. The main focus lies on computational methods and applications, together with cutting edge experimental techniques that are used to approach all aspects of microRNA regulation in cancer. We are sure that the emergence of high-throughput quantitative techniques will make this integrative approach absolutely necessary in the near future. This book will be a resource for researchers starting out with cancer microRNA research, but is also intended for the experienced researcher who wants to incorporate concepts and tools from systems biology and bioinformatics into his work. Bioinformaticians and modellers are provided with a general perspective on microRNA biology in cancer, and the state-of-the-art in computational microRNA biology.
Adoption Of Artificial Intelligence In Human And Clinical Genomics
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Author : Deepak Kumar Jain
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-08
Adoption Of Artificial Intelligence In Human And Clinical Genomics written by Deepak Kumar Jain 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 2023-09-08 with Science categories.
Rough Fuzzy Pattern Recognition
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Author : Pradipta Maji
language : en
Publisher: John Wiley & Sons
Release Date : 2012-02-14
Rough Fuzzy Pattern Recognition written by Pradipta Maji 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 2012-02-14 with Technology & Engineering categories.
Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.
On Bayesian Modeling And Design For Microarray Gene Expression Data
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Author : Yuan Ji
language : en
Publisher:
Release Date : 2003
On Bayesian Modeling And Design For Microarray Gene Expression Data written by Yuan Ji and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.