scholarly article | Q13442814 |
P2093 | author name string | Jianping Huang | |
Chenzhong Cao | |||
Hua Yuan | |||
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Categorical QSAR Models for skin sensitization based upon local lymph node assay classification measures part 2: 4D-fingerprint three-state and two-2-state logistic regression models | Q46306586 | ||
Skin sensitization: reaction mechanistic applicability domains for structure-activity relationships | Q46707312 | ||
Identifying P-glycoprotein substrates using a support vector machine optimized by a particle swarm | Q47280941 | ||
A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification | Q47297641 | ||
Computer-aided knowledge generation for understanding skin sensitization mechanisms: the TOPS-MODE approach | Q47436788 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 7 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | support vector machine | Q282453 |
P304 | page(s) | 3237-3254 | |
P577 | publication date | 2009-06-01 | |
P1433 | published in | International Journal of Molecular Sciences | Q3153277 |
P1476 | title | Prediction of skin sensitization with a particle swarm optimized support vector machine | |
P478 | volume | 10 |
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Q46844812 | Fragment-based prediction of skin sensitization using recursive partitioning. |
Q46964946 | Prediction of skin sensitization potential using D-optimal design and GA-kNN classification methods |
Q36409883 | QSAR models of human data can enrich or replace LLNA testing for human skin sensitization |
Q34515497 | Reliably assessing prediction reliability for high dimensional QSAR data |
Q36301946 | Shuffling cross-validation-bee algorithm as a new descriptor selection method for retention studies of pesticides in biopartitioning micellar chromatography |
Q28817775 | SkinSensDB: a curated database for skin sensitization assays |
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