Prediction of skin sensitization with a particle swarm optimized support vector machine

scientific article

Prediction of skin sensitization with a particle swarm optimized support vector machine is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.3390/IJMS10073237
P932PMC publication ID2738923
P698PubMed publication ID19742136
P5875ResearchGate publication ID26800461

P2093author name stringJianping Huang
Chenzhong Cao
Hua Yuan
P2860cites workOptimized partition of minimum spanning tree for piecewise modeling by particle swarm algorithm. QSAR studies of antagonism of angiotensin II antagonists.Q51578721
Structure-activity relationships for skin sensitization: recent improvements to Derek for Windows.Q51928876
Particle swarm optimizationQ55967027
TIMES-SS—A Mechanistic Evaluation of an External Validation Study Using Reaction Chemistry PrinciplesQ60448870
Identifying the mechanism of aquatic toxicity of selected compounds by hydrophobicity and electrophilicity descriptorsQ77732236
Mechanistic applicability domains for nonanimal-based prediction of toxicological end points: general principles and application to reactive toxicityQ80136971
Structure-activity models for contact sensitizationQ23909564
The importance of occupational skin diseases in the United StatesQ23910459
Application of the random forest method in studies of local lymph node assay based skin sensitization dataQ23921328
Summary of a workshop on regulatory acceptance of (Q)SARs for human health and environmental endpoints.Q24815747
4D-fingerprint categorical QSAR models for skin sensitization based on the classification of local lymph node assay measures.Q36908074
Mechanistic applicability domain classification of a local lymph node assay dataset for skin sensitizationQ39334433
Predictive testing in contact dermatitis. Allergic contact dermatitisQ41561371
Predicting the genotoxicity of thiophene derivatives from molecular structureQ44478424
Quantitative structure-property relationship modeling of skin sensitization: a quantitative predictionQ44972356
Classification study of skin sensitizers based on support vector machine and linear discriminant analysis.Q45965215
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 modelsQ46306586
Skin sensitization: reaction mechanistic applicability domains for structure-activity relationshipsQ46707312
Identifying P-glycoprotein substrates using a support vector machine optimized by a particle swarmQ47280941
A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classificationQ47297641
Computer-aided knowledge generation for understanding skin sensitization mechanisms: the TOPS-MODE approachQ47436788
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue7
P407language of work or nameEnglishQ1860
P921main subjectsupport vector machineQ282453
P304page(s)3237-3254
P577publication date2009-06-01
P1433published inInternational Journal of Molecular SciencesQ3153277
P1476titlePrediction of skin sensitization with a particle swarm optimized support vector machine
P478volume10

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cites work (P2860)
Q45135031Can mutagenicity information be useful in an Integrated Testing Strategy (ITS) for skin sensitization?
Q46844812Fragment-based prediction of skin sensitization using recursive partitioning.
Q46964946Prediction of skin sensitization potential using D-optimal design and GA-kNN classification methods
Q36409883QSAR models of human data can enrich or replace LLNA testing for human skin sensitization
Q34515497Reliably assessing prediction reliability for high dimensional QSAR data
Q36301946Shuffling cross-validation-bee algorithm as a new descriptor selection method for retention studies of pesticides in biopartitioning micellar chromatography
Q28817775SkinSensDB: a curated database for skin sensitization assays

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