Combining Cluster Analysis, Feature Selection and Multiple Support Vector Machine Models for the Identification of Human Ether-a-go-go Related Gene Channel Blocking Compounds

标题
Combining Cluster Analysis, Feature Selection and Multiple Support Vector Machine Models for the Identification of Human Ether-a-go-go Related Gene Channel Blocking Compounds
作者
关键词
-
出版物
Chemical Biology & Drug Design
Volume 73, Issue 1, Pages 17-25
出版商
Wiley
发表日期
2008-12-20
DOI
10.1111/j.1747-0285.2008.00747.x

向作者/读者发起求助以获取更多资源

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now