You are seeing this message because your Web browser does not support basic Web standards. Find out more about why this message is appearing and what you can do to make your experience on this site better.


ABOUT ARCHIVES
Advanced Search

Welcome   | My Account | E-mail Alerts | Access Rights | Sign In


  Vol. 60 No. 5, May 2003 TABLE OF CONTENTS
  Archives
  •  Online Features
  Basic Science Seminars in Neurology
 This Article
 •Full text
 •PDF
 • Reply to article
 •Send to a friend
 • Save in My Folder
 •Save to citation manager
 •Permissions
 Citing Articles
 •Citation map
 •Citing articles on ISI (6)
 •Contact me when this article is cited
 Related Content
 •Similar articles in this journal
 Topic Collections
 •Genetic Counseling/ Testing/ Therapy
 •Neurogenetics
 •Alert me on articles by topic

Application of Microarrays to Neurological Disease

Lisa-Marie Sturla, PhD; Ana Fernandez-Teijeiro, MD, PhD; Scott L. Pomeroy, MD, PhD

Arch Neurol. 2003;60:676-682.

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

INTRODUCTION

Modern microarray-based functional genomics holds great promise for revealing novel molecular and cellular mechanisms of disease. First introduced commercially in 1996, microarrays have been used widely to monitor the expression of thousands of genes in biological samples, as described in the following paragraphs. Other microarray-based genomic applications are also in development, including comparative genomic hybridization, on-chip sequencing, and novel drug discovery. For example, DNA array-based comparative genomic hybridization identifies chromosomal gains and losses with greatly improved resolution compared with conventional methods that use metaphase chromosomes as hybridization targets.1 This increase in resolution will continue to improve as the technology advances. Moreover, microarrays provide a better platform for automation than is possible with standard metaphase techniques. Where genetic mutations and aberrations are already well characterized, microarrays can be customized to be effectively used as a diagnostic and prognostic tool.2-3 . . . [Full Text of this Article]

METHODS

UNSUPERVISED

Principal Component Analysis

Self-organizing Maps

SUPERVISED

k-Nearest Neighbors

Weighted Voting

Support Vector Machines

COMMENT

RELEVANCE TO THE STUDY OF NEUROSCIENCE AND THE PRACTICE OF NEUROLOGY

CONCLUSIONS

USEFUL WEB SITES

From the Division of Neuroscience, Department of Neurology, Children's Hospital, Harvard Medical School, Boston, Mass (Drs Sturla, Fernandez-Teijeiro, and Pomeroy); and the Unidad de Oncologia Pediatrica, Hospital de Cruces-Baracaldo, Basque Country, Spain (Dr Fernandez-Teijeiro).







HOME | CURRENT ISSUE | PAST ISSUES | TOPIC COLLECTIONS | CME | SUBMIT | SUBSCRIBE | HELP
CONDITIONS OF USE | PRIVACY POLICY | CONTACT US | SITE MAP
 
© 2003 American Medical Association. All Rights Reserved.