.png){kind=icon}
返回
Data integration: Challenges for drug discovery
.png){kind=icon}
PRE
AI
DOI：10.1038/nrd1608.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with modern platform technologies, managing increasingly complex discovery portfolios and processes, and fully realizing economies of scale in large enterprises. However, viewing data integration as simply an 'IT problem' underestimates the novel and serious scientific and management challenges it embodies - challenges that could require significant methodological and even cultural changes in our approach to data.
Keyword:
DIFFERENTIALLY-EXPRESSED GENES
PROTEIN-PROTEIN INTERACTIONS
INDEPENDENT COMPONENT ANALYSIS
MICROARRAY DATA
STATISTICAL-METHODS
MESSENGER-RNA
NETWORK
KNOWLEDGE
BIOLOGY
INFORMATION
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
101.8
论文数:
5.1K
被引数:
5.3W
机构
暂无机构信息
引用论文
Integrative analysis of multiple gene expression profiles applied to liver cancer study.png)
FEBS LETTERS
FEBS LETTERSIF3
PREAI
分享收藏Detection of regulatory circuits by integrating the cellular networks of protein-protein interactions and transcription regulationNUCLEIC ACIDS RESEARCH
OAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏分享收藏INCLUSive: a web portal and service registry for microarray and regulatory sequence analysisNUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏
查看更多内容