DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation
about
Identification of Multi-Functional Enzyme with Multi-Label ClassifierSVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity.DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding Residues.iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions.DephosSite: a machine learning approach for discovering phosphotase-specific dephosphorylation sites.Protein Remote Homology Detection Based on an Ensemble Learning Approach.Large-scale identification of human protein function using topological features of interaction network.Peculiar Genes Selection: A new features selection method to improve classification performances in imbalanced data setsRecombination Hotspot/Coldspot Identification Combining Three Different Pseudocomponents via an Ensemble Learning Approach.PSFM-DBT: Identifying DNA-Binding Proteins by Combing Position Specific Frequency Matrix and Distance-Bigram Transformation.Improved detection of DNA-binding proteins via compression technology on PSSM information.Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology.Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.HMMBinder: DNA-Binding Protein Prediction Using HMM Profile Based Features.BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches.On the prediction of DNA-binding proteins only from primary sequences: A deep learning approach.iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural Features.Special Protein Molecules Computational Identification.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.iAPSL-IF: Identification of Apoptosis Protein Subcellular Location Using Integrative Features Captured from Amino Acid Sequences.The SQM/COSMO filter: reliable native pose identification based on the quantum-mechanical description of protein-ligand interactions and implicit COSMO solvation.A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers
P2860
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P2860
DNA binding protein identification by combining pseudo amino acid composition and profile-based protein representation
description
2015 nî lūn-bûn
@nan
2015年の論文
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2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
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2015年學術文章
@zh-hant
name
DNA binding protein identifica ...... e-based protein representation
@ast
DNA binding protein identifica ...... e-based protein representation
@en
type
label
DNA binding protein identifica ...... e-based protein representation
@ast
DNA binding protein identifica ...... e-based protein representation
@en
prefLabel
DNA binding protein identifica ...... e-based protein representation
@ast
DNA binding protein identifica ...... e-based protein representation
@en
P2093
P2860
P356
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P1476
DNA binding protein identifica ...... e-based protein representation
@en
P2093
Shanyi Wang
Xiaolong Wang
P2860
P2888
P356
10.1038/SREP15479
P407
P577
2015-10-20T00:00:00Z
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P6179
1031657961