Microarray Technology and Cancer Gene Profiling

Medical
Microarray Technology and Cancer Gene Profiling PDF Author: Simone Mocellin
Publisher: Springer Science & Business Media
ISBN: 038739978X
Category : Medical
Languages : en
Pages : 159

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Book Description
Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, the principles of DNA array-based tumor gene profiling must be clearly understood for the data to be correctly interpreted and appreciated. This book, written by leading experts, discusses the technical features characterizing the powerful laboratory tool of microarray technology, and reviews applications in the field of oncology.

Microarray Technology and Cancer Gene Profiling

Microarray Technology and Cancer Gene Profiling PDF Author: Simone Mocellin
Publisher: Springer Science & Business Media
ISBN: 038739978X
Category : Medical
Languages : en
Pages : 159

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Book Description
Given the revolutionary implications that the use of this technology might have in the clinical management of cancer patients, the principles of DNA array-based tumor gene profiling must be clearly understood for the data to be correctly interpreted and appreciated. This book, written by leading experts, discusses the technical features characterizing the powerful laboratory tool of microarray technology, and reviews applications in the field of oncology.

Cancer Diagnostics with DNA Microarrays

Cancer Diagnostics with DNA Microarrays PDF Author: Steen Knudsen
Publisher: John Wiley & Sons
ISBN: 0470041099
Category : Science
Languages : en
Pages : 272

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Book Description
Authored by an international authority in the field,Cancer Diagnostics with DNA Microarrays is a complete reference work on the rapidly growing use of DNA microarray data in the diagnosis of and treatment planning for a large number of human cancers. Uniquely deals with direct clinical application of microarray data to oncology diagnosis, leading to more effective diagnosis of and clearer treatment regimens for a wide range of human cancers Offers clinicians summary presentation of state-of-the-art science of DNA microarrays Each chapter includes bibliographic and further reading suggestions Easily accessible, assuming no special training in statistics or bioinformatics Replete with examples and mini-cases, Cancer Diagnostics with DNA Microarrays offers cancer researchers in private, pharmacologic, and governmental institutions, biomedical statisticians, and practicing oncologists concise, thoughtfully authored guidance on the use of microarray data and analysis as clinical tools. The text carefully addresses the needs of end users – researchers and physicians – using microarrays as a tool to be applied in common clinical situations, and is of interest for students in medicine and biology and professionals in health care as well.

DNA Microarray Technology and Data Analysis in Cancer Research

DNA Microarray Technology and Data Analysis in Cancer Research PDF Author: Shaoguang Li
Publisher: World Scientific
ISBN: 9812790454
Category : Medical
Languages : en
Pages : 118

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Book Description
DNA microarray technology has become a useful technique in gene expression analysis for the development of new diagnostic tools and for the identification of disease genes and therapeutic targets for human cancers. Appropriate control for DNA microarray experiment and reliable analysis of the array data are key to performing the assay and utilizing the data correctly. The most difficult challenge has been the lack of a powerful method to analyze the data for all genes (more than 30,000 genes) simultaneously and to use the microarray data in a decision-making process. In this book, the authors describe DNA microarray technology and data analysis by pointing out current advantages and disadvantages of the technique and available analytical methods. Crucially, new ideas and analytical methods based on the authors' own experience in DNA microarray study and analysis are introduced. It is believed that this new way of interpreting and analyzing microarray data will bring us closer to success in decision-making using the information obtained through the DNA microarray technology.

Dna Microarrays As a Tool in Cancer Research

Dna Microarrays As a Tool in Cancer Research PDF Author: Antti Kokko
Publisher: LAP Lambert Academic Publishing
ISBN: 9783838318493
Category :
Languages : en
Pages : 88

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Book Description
DNA microarray technology has been rapidly adopted by biomedical researchers and emerged as a promising research method in studies of human cancer. In many cases in silico data alone is not sufficient to identify a cancer predisposing gene, but when used together with other methods such as linkage analysis and functional studies this becomes a very prominent tool. This study describes various methods used in microarray technology and how the technology was utilized in studies of certain hereditary cancers together with supporting methods and technologies. Although DNA microarrays are used primarily in research, clinical applications are foreseeable and slowly emerging. This study should give more insight to the potential of microarrays as a tool for cancer research. The book should be especially useful for undergraduate or graduate students in the field of molecular biology or cancer research who wish to know more about the microarray technology and how it may be used in conjunction with other methods in genetics, or for anyone else who may be interested in microarray experiments.

Cancer Genomics

Cancer Genomics PDF Author: Cécile Le Page
Publisher: Elsevier Inc. Chapters
ISBN: 0128061022
Category : Medical
Languages : en
Pages : 510

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Book Description
The tissue microarray (TMA) is a recent technology developed to increase the performance of molecular profiling in cancer research by rapidly performing large-scale studies while reducing experimental variables and conserving priceless tissue samples. The technology allows, on a single glass slide, the parallel analysis of protein or genes in an array composed of hundreds of paraffin-embedded cored tissue specimens. TMAs can be evaluated with immunohistochemistry, fluorescent-dye assays, and in situ hybridization (ISH). While strictly a research and screening tool, TMAs enable the rapid investigation of normal and cancer tissues, and are especially useful for cancer biomarker validation studies. In oncology, the ability to couple TMA results to clinical parameters is especially useful for the development of clinically useful prognostic and predictive biomarkers derived from genomics studies. This chapter will introduce the readers to the main technical aspects of TMA construction and the methods of TMA analysis particularly in the context of breast and ovarian cancers. Important points for consideration in order to avoid the common pitfalls of the technology will be presented and a particular focus will be provided on quality control and analysis of TMA.

Expression Profiling of Human Tumors

Expression Profiling of Human Tumors PDF Author: Marc Ladanyi
Publisher: Springer Science & Business Media
ISBN: 1592593860
Category : Medical
Languages : en
Pages : 399

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Book Description
A comprehensive review of the use of global gene expression profiling to understand human tumors. The authors focus on the analysis of human tissue samples for a variety of cancers, including breast, colorectal, lung, renal, ovarian, bone, and brain tumors, among others. A primer on the technology and its novel analytical methods. Contains over 40 color images. Explains both the theory and practice of comprehensive gene expression profiling. Timely and topical, Expression Profiling of Human Tumors: Diagnostic and Research Applications offers every oncologist, pathologists, and cancer surgeons an essential introduction to the most promising new high-throughput investigative approaches in molecular biology-technology that is already dramatically reshaping the future of cancer research, diagnostic pathology, and clinical oncology.

High-dimensional Microarray Data Analysis

High-dimensional Microarray Data Analysis PDF Author: Shuichi Shinmura
Publisher: Springer
ISBN: 9811359989
Category : Medical
Languages : en
Pages : 419

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Book Description
This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. The information is useful for genetic experts, anyone who analyzes genetic data, and students to use as practical textbooks. Discriminant analysis is the best approach for microarray consisting of normal and cancer classes. Microarrays are linearly separable data (LSD, Fact 3). However, because most linear discriminant function (LDF) cannot discriminate LSD theoretically and error rates are high, no one had discovered Fact 3 until now. Hard-margin SVM (H-SVM) and Revised IP-OLDF (RIP) can find Fact3 easily. LSD has the Matryoshka structure and is easily decomposed into many SMs (Fact 4). Because all SMs are small samples and LSD, statistical methods analyze SMs easily. However, useful results cannot be obtained. On the other hand, H-SVM and RIP can discriminate two classes in SM entirely. RatioSV is the ratio of SV distance and discriminant range. The maximum RatioSVs of six microarrays is over 11.67%. This fact shows that SV separates two classes by window width (11.67%). Such easy discrimination has been unresolved since 1970. The reason is revealed by facts presented here, so this book can be read and enjoyed like a mystery novel. Many studies point out that it is difficult to separate signal and noise in a high-dimensional gene space. However, the definition of the signal is not clear. Convincing evidence is presented that LSD is a signal. Statistical analysis of the genes contained in the SM cannot provide useful information, but it shows that the discriminant score (DS) discriminated by RIP or H-SVM is easily LSD. For example, the Alon microarray has 2,000 genes which can be divided into 66 SMs. If 66 DSs are used as variables, the result is a 66-dimensional data. These signal data can be analyzed to find malignancy indicators by principal component analysis and cluster analysis.

Large-scale Integration of Microarray Data

Large-scale Integration of Microarray Data PDF Author: Noor Dawany
Publisher:
ISBN:
Category : Biomedical engineering
Languages : en
Pages : 230

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Book Description


Microarrays and Cancer Research

Microarrays and Cancer Research PDF Author: Janet A. Warrington
Publisher: Eaton Publishing Company
ISBN:
Category : Medical
Languages : en
Pages : 162

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Oncogenomics

Oncogenomics PDF Author: Charles Brenner
Publisher: John Wiley & Sons
ISBN: 0471476641
Category : Medical
Languages : en
Pages : 400

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Book Description
This book aims to assemble the only available rigorous, yet broadly accessible introduction to this new and exciting field. Oncogenomics: Molecular Approaches to Cancer is approachable by basic scientists, practitioners, and other health professionals required to familiarize themselves with the tremendous impact of genomics and proteomics on cancer research. Clearly written chapters offer reviews of state of the art topics such as molecular classification, early detection, SNPs in cancer, data mining, tissue microarrays, protein and antibody arrays, and drug targets.