Modeling transcription termination of selected gene groups using support vector machine

Modeling transcription termination of selected gene groups using support vector machine

10.1109/IJCNN.2008.4633821

Saved in:

Bibliographic Details
Main Authors:	Xu, J.-X., Ashok, B., Panda, S.K., Bajic, V.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Conference or Workshop Item
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/71000
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Prediction models for DNA transcription termination based on SOM networks
by: Bajic, V.B., et al.
Published: (2014)

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

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

Group-based Relevance Feedback with Support Vector Machine Ensembles
by: HOI, Steven C. H., et al.
Published: (2004)

Bayesian support vector machines for feature ranking and selection
by: Chu, W., et al.
Published: (2014)

Saliency analysis of support vector machines for feature selection
by: Tay, F.E.H., et al.
Published: (2014)

Support Vector Machines
by: Steinwart, Ingo, et al.
Published: (2017)

Virtual screening of selective multitarget kinase inhibitors by combinatorial support vector machines
by: Ma, X.H., et al.
Published: (2014)

Feature selection for stock trend prediction via support vector machine
by: Ng, Ivan Wei Jun.
Published: (2013)

Special issue on support vector machines
by: Campbell, C., et al.
Published: (2014)

Support vector machines model for classification of thermal error in machine tools
by: Ramesh, R., et al.
Published: (2014)

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

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

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

Comparison of the support Vector Machine and Relevant Vector Machine in regression and classification problems
by: Yu, W.M., et al.
Published: (2014)

Extracting the knowledge embedded in support vector machines
by: Fu, X., et al.
Published: (2014)

Classification of dengue fever patients based on gene expression data using support vector machines
by: Gomes, A.L.V., et al.
Published: (2014)

PEMODELAN RESIKO KREDIT DENGAN PENDEKATAN SUPPORT VECTOR MACHINE SUPPORT VECTOR MACHINE APPROACH TO CREDIT RISK
by: , CHRISTINA EVA NURYANI, et al.
Published: (2012)

Bayesian approach to support vector machines
by: CHU WEI
Published: (2010)

Kernel functions for support vector machines
by: Tanasanee Phienthrakul
Published: (2011)

Support vector machines for biomedical applications
by: Chaw, Su Khine.
Published: (2008)

Speech emotion recognition using support vector machines
by: Africa, Aaron Don M., et al.
Published: (2020)

Rule Extraction from Support Vector Machines
by: Joachim Diederich.
Published: (2017)

Flood stage forecasting with support vector machines
by: Liong, S.-Y., et al.
Published: (2014)

Nomogram visualization for ranking support vector machine
by: Thuy, N.T.T., et al.
Published: (2013)

Question Classification using Support Vector Machines
by: Zhang, D., et al.
Published: (2013)

Web classification using Support Vector Machine
by: SUN, Aixin, et al.
Published: (2002)

Two-view Transductive Support Vector Machines
by: LI, Guangxia, et al.
Published: (2010)

Bond Rating Using Support Vector Machine
by: CAO, Lijuan, et al.
Published: (2007)

Enzyme Family Classification by Support Vector Machines
by: Cai, C.Z., et al.
Published: (2014)

Incident detection using support vector machines
by: Yuan, F., et al.
Published: (2014)

Financial forecasting using Support Vector Machines
by: Cao, L., et al.
Published: (2014)

A comparative study of saliency analysis and genetic algorithm for feature selection in support vector machines
by: Tay, F.E.H., et al.
Published: (2014)

Classification models for HERG potassium channel inhibitors based on the support vector machine approach
by: Li, P., et al.
Published: (2014)

Comparison of extreme learning machine with support vector machine for text classification
by: Liu, Y., et al.
Published: (2014)

Nasopharyngeal carcinoma lesion segmentation from MR images by support vector machine
by: Zhou, J., et al.
Published: (2011)

Nasopharyngeal carcinoma lesion segmentation from MR images by support vector machine
by: Zhou, J., et al.
Published: (2016)

Effect of molecular descriptor feature selection in support vector machine classification of pharmacokinetic and toxicological properties of chemical agents
by: Xue, Y., et al.
Published: (2014)

A two-step target binding and selectivity support vector machines approach for virtual screening of dopamine receptor subtype-selective ligands
by: Zhang, J., et al.
Published: (2014)

Parallel sequential minimal optimization for the training of support vector machines
by: Cao, L.J., et al.
Published: (2014)