In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.
about
Prediction of skin sensitization potency using machine learning approaches.An Integrated Chemical Environment to Support 21st-Century Toxicology.The CompTox Chemistry Dashboard: a community data resource for environmental chemistry.Demonstration of a consensus approach for the calculation of physicochemical properties required for environmental fate assessments.Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods.OPERA models for predicting physicochemical properties and environmental fate endpoints.Predicting mammalian metabolism and toxicity of pesticides in silico
P2860
Q38721990-FBEE1612-196C-478B-8377-3898252460B2Q38756514-6B6ACD33-2382-43ED-AEE4-F4094D188261Q44040193-FDF133A2-D8C6-4FE1-9ABD-9A6306FB00FFQ47590087-1D96F933-EEAE-4D41-9D13-F574EB258BB6Q52578227-2385F69B-820A-4D15-BBEA-DE274747E1FAQ52590681-170B6575-C6ED-49CC-92FE-F51F82D815B0Q54974457-71726485-9DCB-465E-BF0D-992B5DC95BE8Q56855479-F5FFD6C2-13D5-4AD1-B46F-0D977051BC83
P2860
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
In Silico Prediction of Physic ...... erprints and Machine Learning.
@en
In Silico Prediction of Physic ...... erprints and Machine Learning.
@nl
type
label
In Silico Prediction of Physic ...... erprints and Machine Learning.
@en
In Silico Prediction of Physic ...... erprints and Machine Learning.
@nl
prefLabel
In Silico Prediction of Physic ...... erprints and Machine Learning.
@en
In Silico Prediction of Physic ...... erprints and Machine Learning.
@nl
P2093
P2860
P50
P356
P1476
In Silico Prediction of Physic ...... erprints and Machine Learning.
@en
P2093
David G Allen
Richard S Judson
Warren M Casey
P2860
P356
10.1021/ACS.JCIM.6B00625
P577
2016-12-22T00:00:00Z