scholarly article | Q13442814 |
P50 | author | Eugene Demchuk | Q28323848 |
P2093 | author name string | Harshinder Singh | |
Adam Fedorowicz | |||
Sidney Soderholm | |||
P2860 | cites work | Random forest: a classification and regression tool for compound classification and QSAR modeling | Q47370701 |
P433 | issue | 6 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | sensitization | Q657619 |
skin disease | Q949302 | ||
P5008 | on focus list of Wikimedia project | Wikimedia–NIOSH collaboration | Q104416361 |
P304 | page(s) | 954-969 | |
P577 | publication date | 2005-06-01 | |
P1433 | published in | Chemical Research in Toxicology | Q473530 |
P859 | sponsor | NIOSH Health Effects Laboratory Division | Q123344455 |
P1476 | title | Structure-activity models for contact sensitization | |
P478 | volume | 18 |
Q23920794 | A new descriptor selection scheme for SVM in unbalanced class problem: a case study using skin sensitisation dataset |
Q40266892 | A skin-like cytochrome P450 cocktail activates prohaptens to contact allergenic metabolites |
Q34212628 | Decision tree models for data mining in hit discovery |
Q56686689 | Diacetyl [MAK Value Documentation in German Language, 2015] |
Q46844812 | Fragment-based prediction of skin sensitization using recursive partitioning. |
Q36679804 | Guinea pigs in hypersensitivity testing |
Q35549047 | IMMAN: free software for information theory-based chemometric analysis |
Q23913780 | Mercaptobenzothiazole allergenicity - role of the thiol group |
Q34197418 | Modeling chemical interaction profiles: I. Spectral data-activity relationship and structure-activity relationship models for inhibitors and non-inhibitors of cytochrome P450 CYP3A4 and CYP2D6 isozymes |
Q37697804 | Non-animal sensitization testing: state-of-the-art |
Q37700464 | Perspectives on Non-Animal Alternatives for Assessing Sensitization Potential in Allergic Contact Dermatitis |
Q38254382 | Photoprotection in changing times - UV filter efficacy and safety, sensitization processes and regulatory aspects |
Q46964946 | Prediction of skin sensitization potential using D-optimal design and GA-kNN classification methods |
Q33501706 | Prediction of skin sensitization with a particle swarm optimized support vector machine |
Q36409883 | QSAR models of human data can enrich or replace LLNA testing for human skin sensitization |
Search more.