Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm
Authors
Keywords
Linear discriminant analysis, Algorithms, Genetic algorithms, Artificial intelligence, Intelligence, Protein sequencing, Data reduction, Optimization
Journal
PLoS One
Volume 13, Issue 4, Pages e0195636
Publisher
Public Library of Science (PLoS)
Online
2018-04-13
DOI
10.1371/journal.pone.0195636
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information
- (2017) Leyi Wei et al. INFORMATION SCIENCES
- Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection
- (2017) Shunfang Wang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Protein subcellular localization prediction using multiple kernel learning based support vector machine
- (2017) Md. Al Mehedi Hasan et al. Molecular BioSystems
- Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction
- (2016) Ying-Ying Xu et al. BIOINFORMATICS
- A multiple information fusion method for predicting subcellular locations of two different types of bacterial protein simultaneously
- (2016) Jing Chen et al. BIOSYSTEMS
- MSLVP: prediction of multiple subcellular localization of viral proteins using a support vector machine
- (2016) Anamika Thakur et al. Molecular BioSystems
- Linear dimensionality reduction based on Hybrid structure preserving projections
- (2016) Yupei Zhang et al. NEUROCOMPUTING
- Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA
- (2015) Shunfang Wang et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach
- (2014) Liqi Li et al. BIOCHIMIE
- Evolutionary combination of kernels for nonlinear feature transformation
- (2014) Behzad Zamani et al. INFORMATION SCIENCES
- iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking
- (2014) Yue-Nong Fan et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets
- (2014) Pufeng Du et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Protein Sub-Nuclear Localization Prediction Using SVM and Pfam Domain Information
- (2014) Ravindra Kumar et al. PLoS One
- propy: a tool to generate various modes of Chou’s PseAAC
- (2013) Dong-Sheng Cao et al. BIOINFORMATICS
- Entropy-Relevant Dimensions in the Kernel Feature Space: Cluster-Capturing Dimensionality Reduction
- (2013) Robert Jenssen IEEE SIGNAL PROCESSING MAGAZINE
- An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures
- (2013) Guo Sheng Han et al. PLoS One
- PseAAC-Builder: A cross-platform stand-alone program for generating various special Chou’s pseudo-amino acid compositions
- (2012) Pufeng Du et al. ANALYTICAL BIOCHEMISTRY
- KERNEL ENTROPY-BASED UNSUPERVISED SPECTRAL FEATURE SELECTION
- (2012) ZHIHONG ZHANG et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Kernel Entropy Component Analysis for Remote Sensing Image Clustering
- (2011) Luis Gomez-Chova et al. IEEE Geoscience and Remote Sensing Letters
- iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
- (2011) Xuan Xiao et al. JOURNAL OF THEORETICAL BIOLOGY
- PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes
- (2010) Nancy Y. Yu et al. BIOINFORMATICS
- I-TASSER: a unified platform for automated protein structure and function prediction
- (2010) Ambrish Roy et al. Nature Protocols
- Face recognition using kernel entropy component analysis
- (2010) B.H. Shekar et al. NEUROCOMPUTING
- Kernel Entropy Component Analysis
- (2009) R. Jenssen IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Using the nonlinear dimensionality reduction method for the prediction of subcellular localization of Gram-negative bacterial proteins
- (2009) Tong Wang et al. MOLECULAR DIVERSITY
- Predicting Subcellular Localization of Gram-Negative Bacterial Proteins by Linear Dimensionality Reduction Method
- (2009) Tong Wang et al. PROTEIN AND PEPTIDE LETTERS
- Protein subcellular location prediction using optimally weighted fuzzy k-NN algorithm
- (2008) Efendi Nasibov et al. COMPUTATIONAL BIOLOGY AND CHEMISTRY
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
- (2008) Kuo-Chen Chou et al. Nature Protocols
- PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition
- (2007) Hong-Bin Shen et al. ANALYTICAL BIOCHEMISTRY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now