Variable predictive model based classification algorithm for effective separation of protein structural classes

Variable predictive model based classification algorithm for effective separation of protein structural classes

10.1016/j.compbiolchem.2008.03.009

Saved in:

Bibliographic Details
Main Authors:	Raghuraj, R., Lakshminarayanan, S.
Other Authors:	CIVIL ENGINEERING
Format:	Article
Published:	2014
Subjects:	Computational biology Discriminant analysis Protein classification Secondary structure prediction Variable predictive model
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/64780
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

Similar Items

Variable predictive model based classification algorithm for effective separation of protein structural classes
by: Raghuraj, R., et al.
Published: (2014)

Variable predictive models-A new multivariate classification approach for pattern recognition applications
by: Raghuraj, R., et al.
Published: (2014)

Variable predictive models-A new multivariate classification approach for pattern recognition applications
by: Raghuraj, R., et al.
Published: (2014)

VPMCD: Variable interaction modeling approach for class discrimination in biological systems
by: Raghuraj, R., et al.
Published: (2014)

VPMCD: Variable interaction modeling approach for class discrimination in biological systems
by: Raghuraj, R., et al.
Published: (2014)

Fourier-based classification of protein secondary structures
by: Shu, Jian-Jun, et al.
Published: (2017)

Partial correlation based variable selection approach for multivariate data classification methods
by: Raghuraj Rao, K., et al.
Published: (2014)

Partial correlation based variable selection approach for multivariate data classification methods
by: Raghuraj Rao, K., et al.
Published: (2014)

Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approach
by: Rashid, Shamima, et al.
Published: (2016)

Protein classification using functional motifs as sub-structures of active site
by: AHMAR FARAZ
Published: (2010)

Accurate prediction of scorpion toxin functional properties from primary structures
by: Tan, P.T.J., et al.
Published: (2011)

Hierarchical Multi-label Associative Classification for Protein Function Prediction Using Gene Ontology
by: Sawinee Sangsuriyun, et al.
Published: (2019)

A matrix algorithm for RNA secondary structure prediction
by: Krishnan, S.P.T., et al.
Published: (2014)

DEEP VISUAL SCENE UNDERSTANDING: CLASSIFICATION, SEGMENTATION AND PREDICTION
by: JIN XIAOJIE
Published: (2018)

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)

Nramp defines a family of membrane proteins
by: Cellier, M., et al.
Published: (2014)

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

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

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

A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department
by: Samsudin, M.I., et al.
Published: (2021)

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

Graph - Based Methods for Protein Function Prediction
by: CHUA HON NIAN
Published: (2011)

Combining heart rate variability with disease severity score variables for mortality risk stratification in septic patients presenting at the emergency department
by: Pong, J.Z., et al.
Published: (2021)

Partial correlation metric based classifier for food product characterization
by: Melissa, A.S., et al.
Published: (2014)

Partial correlation metric based classifier for food product characterization
by: Melissa, A.S., et al.
Published: (2014)

Prediction of functional class of novel plant proteins by a statistical learning method
by: Han, L.Y., et al.
Published: (2014)

A survey of computational methods for protein complex prediction from protein interaction networks
by: Srihari, S., et al.
Published: (2013)

EXAMINING REPLICABILITY OF MACHINE LEARNING METHODS FOR VARIABLE IMPORTANCE AND PERFORMANCE MEASURES
by: RANJITH VIJAYAKUMAR
Published: (2020)

Protein-protein interactions prediction via multimodal deep polynomial network and regularized extreme learning machine
by: Lei, Haijun, et al.
Published: (2020)

Event prediction and modeling of variable rate sampled data using dynamic bayesian networks
by: Sharma, V., et al.
Published: (2014)

Binding modes of teixobactin to lipid ii : molecular dynamics study
by: Liu, Yang, et al.
Published: (2018)

The predictive Lasso
by: Tran, M.-N., et al.
Published: (2014)

Feature selection for the prediction of translation initiation sites
by: Li, G.-L., et al.
Published: (2013)

Effect of training datasets on support vector machine prediction of protein-protein interactions
by: LO, Siaw Ling, et al.
Published: (2005)

On the performance characterization and evaluation of RNA structure prediction algorithms for high performance systems
by: S. P. T. KRISHNAN
Published: (2012)

Prediction of ligand-binding proteins and their inhibitors: machine learning approach
by: LIN HONGHUANG
Published: (2014)

Using indirect protein-protein interactions for protein complex prediction
by: Chua, H.N., et al.
Published: (2013)

Homology-free prediction of functional class of proteins and peptides by support vector machines
by: Zhu, F., et al.
Published: (2014)

Will fault localization work for these failures? An automated approach to predict effectiveness of fault localization tools
by: LE, Tien-Duy B., et al.
Published: (2013)

Model predictive control using segregated disturbance feedback
by: Wang, C., et al.
Published: (2013)