QSAR and predictors of eye and skin effects

QSAR and predictors of eye and skin effects

10.1002/minf.201200119

Saved in:

Bibliographic Details
Main Authors:	Liew, C.Y., Yap, C.W.
Other Authors:	PHARMACY
Format:	Article
Published:	2014
Subjects:	Bioinformatics Eye/skin irritation Prediction program Structureï£¿activity relationships Support vector machine
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/106269
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Prediction of protein allergenicity using local description of amino acid sequence
by: Tong, J.C., et al.
Published: (2014)

Protein function and inhibitor prediction by statistical learning approach
by: HAN LIANYI
Published: (2010)

Prediction of torsade-causing potential of drugs by support vector machine approach
by: Yap, C.W., et al.
Published: (2014)

Virtual screening methods as tools for drug lead discovery from large chemical libraries
by: Ma, X.H., et al.
Published: (2014)

Methods to Improve Virtual Screening of Potential Drug Leads for Specific Pharmacodynamic and Toxicological Properties
by: LIEW CHIN YEE
Published: (2012)

Functional prediction of bioactive toxins in scorpion venom through bioinformatics
by: TAN THIAM JOO, PAUL
Published: (2010)

Development and application of bioinformatics tools for discovery disease markers and disease targeting antibodies
by: TANG ZHIQUN
Published: (2011)

Artificial skin ridges enhance local tactile shape discrimination
by: Salehi, S., et al.
Published: (2014)

Machine learning-based prediction of survival prognosis in cervical cancer
by: Ding, Dongyan, et al.
Published: (2022)

Prediction of antifungal activity with support vector machine
by: Li, Z.-R., et al.
Published: (2014)

EnsembleFam: towards more accurate protein family prediction in the twilight zone
by: Kabir, MN, et al.
Published: (2023)

Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound libraries
by: Kumar, P., et al.
Published: (2014)

A fast iterative nearest point algorithm for support vector machine classifier design
by: Keerthi, S.S., et al.
Published: (2014)

Prediction of transporter family from protein sequence by support vector machine approach
by: Lin, H.H., et al.
Published: (2014)

Convergence of the extended Lagrangian support vector machine
by: Yang, X.W., et al.
Published: (2014)

Application of support vector machine to prediction of cross-reactive allergens and recognition of viral sequences
by: MUH HON CHENG
Published: (2010)

Prediction of relatedness in stack overflow: Deep learning vs. SVM: A reproducibility study
by: XU, Bowen, et al.
Published: (2018)

An extended Lagrangian support vector machine for classifications
by: Yang, X., et al.
Published: (2014)

Supervised and unsupervised machine learning for side-channel based Trojan detection
by: Jap, Dirmanto, et al.
Published: (2017)

Applying support vector machines to predict building energy consumption in tropical region
by: Dong, B., et al.
Published: (2014)

Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
by: Ong, C.J., et al.
Published: (2014)

Splice Site Prediction Using Support Vector Machines with a Bayes Kernel
by: ZHANG, Ya, et al.
Published: (2006)

Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
by: Cui, J., et al.
Published: (2014)

Formulation development of transdermal dosage forms: Quantitative structure-activity relationship model for predicting activities of terpenes that enhance drug penetration through human skin
by: Kang, L., et al.
Published: (2014)

Protein function prediction via protein-protein interaction - a Support Vector Machine approach
by: LO SIAW LING
Published: (2010)

Minerva: Sequential covering for rule extraction
by: Huysmans, J., et al.
Published: (2013)

Efficient tuning of SVM hyperparameters using radius/margin bound and iterative algorithms
by: Keerthi, S.S.
Published: (2014)

Convergence of a generalized SMO algorithm for SVM classifier design
by: Keerthi, S.S., et al.
Published: (2014)

Link Prediction in a Weighted Network Using Support Vector Machine
by: Co, Jan Miles, et al.
Published: (2016)

Prediction of pathogenic and antigenic proteins and peptides by machine learning approach
by: CUI JUAN
Published: (2019)

Intelligent ethernet based open architecture control system for machine tools
by: Ramesh, R., et al.
Published: (2014)

Feature set reduction and analysis for skin disease classification modeling using SVM-KNN and neural network
by: ZAMBALES, JOSHUA
Published: (2017)

Feature set reduction and analysis for skin disease classification modeling using SVM-KNN and neural network
by: ZAMBALES, JOSHUA
Published: (2017)

DYNAMIC MULTIOBJECTIVE OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
by: ARRCHANA MURUGANANTHAM
Published: (2017)

Effect of training datasets on support vector machine prediction of protein-protein interactions
by: Lo, S.L., et al.
Published: (2014)

Saliency analysis of support vector machines for gene selection in tissue classification
by: Cao, L., et al.
Published: (2016)

Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical properties
by: Cui, J., et al.
Published: (2014)

Time-Series Link Prediction Using Support Vector Machines
by: Fernandez, Proceso L, Jr, et al.
Published: (2017)

Evaluation of user/operator stress using eye-tracking with machine learning algorithms
by: Song, Ke Yan
Published: (2024)

Mixed learning algorithms and features ensemble in hepatotoxicity prediction
by: Liew, C.Y., et al.
Published: (2014)