A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
<p>Abstract</p> <p>Background</p> <p>Bioactivity profiling using high-throughput <it>in vitro </it>assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also reduce the need for animal testing. Several pu...
Main Authors: | Li Zhen, Setzer R Woodrow, Elloumi Fathi, Judson Richard, Shah Imran |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-05-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/9/241 |
Similar Items
-
Multi-label classification on locally-linear data: Application to chemical toxicity prediction
by: Yap, Xiu Huan
Published: (2021) -
Large scale support vector machines algorithms for visual classification
by: Doan, Thanh-Nghi
Published: (2013) -
Empirical models for anatomical and physiological changes in a human mother and fetus during pregnancy and gestation.
by: Dustin F Kapraun, et al.
Published: (2019-01-01) -
Multi-scale guided feature extraction and classification algorithm for hyperspectral images
by: Shiqi Huang, et al.
Published: (2021-09-01) -
Révision du chapitre 3480 du manuel de l 'I.C.C.A. : Effets de la nouvelle définition des éléments extraordinaires sur la valeur prédictive du bénéfice d’exploitation
by: Elloumi, Fathi
Published: (1994)