Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
出版年份 2012 全文链接
标题
Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
作者
关键词
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出版物
PLoS One
Volume 7, Issue 6, Pages e37155
出版商
Public Library of Science (PLoS)
发表日期
2012-06-09
DOI
10.1371/journal.pone.0037155
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Virus-mPLoc: A Fusion Classifier for Viral Protein Subcellular Location Prediction by Incorporating Multiple Sites
- (2012) Hong-Bin Shen et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- A novel method for predicting protein subcellular localization based on pseudo amino acid composition
- (2011) Junwei Ma et al. BMB Reports
- Gene ontology based transfer learning for protein subcellular localization
- (2011) Suyu Mei et al. BMC BIOINFORMATICS
- Robust prediction of protein subcellular localization combining PCA and WSVMs
- (2011) Jiang Tian et al. COMPUTERS IN BIOLOGY AND MEDICINE
- 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
- Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine
- (2011) Hassan Mohabatkar et al. JOURNAL OF THEORETICAL BIOLOGY
- Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization
- (2011) Suyu Mei JOURNAL OF THEORETICAL BIOLOGY
- iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites
- (2011) Zhi-Cheng Wu et al. Molecular BioSystems
- iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites
- (2011) Kuo-Chen Chou et al. Molecular BioSystems
- Gaussian kernel optimization: Complex problem and a simple solution
- (2011) Jiang-Bo Yin et al. NEUROCOMPUTING
- iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins
- (2011) Kuo-Chen Chou et al. PLoS One
- Predicting Functions of Proteins in Mouse Based on Weighted Protein-Protein Interaction Network and Protein Hybrid Properties
- (2011) Lele Hu et al. PLoS One
- Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
- (2011) Ping Wang et al. PLoS One
- A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites
- (2011) Xuan Xiao et al. PLoS One
- Predicting Transcriptional Activity of Multiple Site p53 Mutants Based on Hybrid Properties
- (2011) Tao Huang et al. PLoS One
- Prediction of Body Fluids where Proteins are Secreted into Based on Protein Interaction Network
- (2011) Le-Le Hu et al. PLoS One
- NR-2L: A Two-Level Predictor for Identifying Nuclear Receptor Subfamilies Based on Sequence-Derived Features
- (2011) Pu Wang et al. PLoS One
- Classification and Analysis of Regulatory Pathways Using Graph Property, Biochemical and Physicochemical Property, and Functional Property
- (2011) Tao Huang et al. PLoS One
- iDNA-Prot: Identification of DNA Binding Proteins Using Random Forest with Grey Model
- (2011) Wei-Zhong Lin et al. PLoS One
- Predicting Apoptosis Protein Subcellular Location with PseAAC by Incorporating Tripeptide Composition
- (2011) Bo Liao et al. PROTEIN AND PEPTIDE LETTERS
- Going from where to why—interpretable prediction of protein subcellular localization
- (2010) Sebastian Briesemeister et al. BIOINFORMATICS
- Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition
- (2010) Lei Chen et al. BMC BIOINFORMATICS
- Some remarks on protein attribute prediction and pseudo amino acid composition
- (2010) Kuo-Chen Chou JOURNAL OF THEORETICAL BIOLOGY
- GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions
- (2010) Xuan Xiao et al. Molecular BioSystems
- Analysis of Protein Pathway Networks Using Hybrid Properties
- (2010) Lei Chen et al. MOLECULES
- Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features
- (2010) Zhisong He et al. PLoS One
- Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization
- (2010) Kuo-Chen Chou et al. PLoS One
- Analysis and Prediction of the Metabolic Stability of Proteins Based on Their Sequential Features, Subcellular Locations and Interaction Networks
- (2010) Tao Huang et al. PLoS One
- A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0
- (2010) Kuo-Chen Chou et al. PLoS One
- Prediction of Subcellular Location of Apoptosis Proteins Using Pseudo Amino Acid Composition: An Approach from Auto Covariance Transformation
- (2010) Taigang Liu et al. PROTEIN AND PEPTIDE LETTERS
- Prediction of Cyclin Proteins Using Chous Pseudo Amino Acid Composition
- (2010) Hassan Mohabatkar PROTEIN AND PEPTIDE LETTERS
- Prediction of subcellular locations of proteins: Where to proceed?
- (2010) Kenichiro Imai et al. PROTEOMICS
- A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0
- (2009) Hong-Bin Shen et al. ANALYTICAL BIOCHEMISTRY
- Protein subcellular localization prediction of eukaryotes using a knowledge-based approach
- (2009) Hsin-Nan Lin et al. BMC BIOINFORMATICS
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
- (2009) Yu-hong Zeng et al. JOURNAL OF THEORETICAL BIOLOGY
- Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses
- (2009) Maryam Esmaeili et al. JOURNAL OF THEORETICAL BIOLOGY
- Using pseudo amino acid composition to predict protein subcellular location: approached with amino acid composition distribution
- (2008) J.-Y. Shi et al. AMINO ACIDS
- ProtIdent: A web server for identifying proteases and their types by fusing functional domain and sequential evolution information
- (2008) Kuo-Chen Chou et al. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
- DBMLoc: a Database of proteins with multiple subcellular localizations
- (2008) Song Zhang et al. BMC BIOINFORMATICS
- Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition
- (2008) D.N. Georgiou et al. JOURNAL OF THEORETICAL BIOLOGY
- Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms
- (2008) Kuo-Chen Chou et al. Nature Protocols
- Using the Concept of Chous Pseudo Amino Acid Composition to Predict Apoptosis Proteins Subcellular Location: An Approach by Approximate Entropy
- (2008) Xiaoying Jian et al. PROTEIN AND PEPTIDE LETTERS
- Predicting Protein Subcellular Location Using Chous Pseudo Amino Acid Composition and Improved Hybrid Approach
- (2008) Feng-Min Li et al. PROTEIN AND PEPTIDE LETTERS
- PseAAC: A flexible web server for generating various kinds of protein pseudo amino acid composition
- (2007) Hong-Bin Shen et al. ANALYTICAL BIOCHEMISTRY
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