logo
CanyamAI summaries for academic research
language
MobileMobile
  • Phone FeatureWeChat Mini Program
EnglishEnglish
noticeNotice
BlogBlog
delete
arrow
Return

Microarray databases: standards and ontologies

delete2002-12-01
delete102
PRE
AI
C
Christian J. Stoeckert
H
Helen C. Causton
C
Catherine A. Ball
DOI：10.1038/ng1028delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
A single microarray can provide information on the expression of tens of thousands of genes. The amount of information generated by a microarray-based experiment is sufficiently large that no single study can be expected to mine each nugget of scientific information. As a consequence, the scale and complexity of microarray experiments require that computer software programs do much of the data processing, storage, visualization, analysis and transfer. The adoption of common standards and ontologies for the management and sharing of microarray data is essential and will provide immediate benefit to the research community.
Keywords:
EXPRESSION
CANCER
GENES
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Reviews Endocrinology cover
Nature Reviews Endocrinology
IF:
40
Papers:
1.0W
Citations:
10.5W

Organization

No organization information available