Big data in predictive toxicology
No === The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically. This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biolo...
Main Authors: | Neagu, Daniel, Richarz, A-N. |
---|---|
Language: | en |
Published: |
Royal Society of Chemistry
2020
|
Subjects: | |
Online Access: | http://hdl.handle.net/10454/17603 |
Similar Items
-
Toxicological evaluations: computerized data handling, good laboratory practice, combustion toxicology
by: Isacson, Larry Stewart, 1953-
Published: (1977) -
Predictive Toxicology: Modeling Chemical Induced Toxicological Response Combining Circular Fingerprints with Random Forest and Support Vector Machine
by: Alexios eKoutsoukas, et al.
Published: (2016-03-01) -
Big Data: Definition, Architecture & Applications
by: Humam Khalid Yaseen, et al.
Published: (2020-02-01) -
Computational Modeling and Prediction on Viscosity of Slags by Big Data Mining
by: Ao Huang, et al.
Published: (2020-03-01) -
Analyzing Healthcare Big Data With Prediction for Future Health Condition
by: Prasan Kumar Sahoo, et al.
Published: (2016-01-01)