Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features
出版年份 2018 全文链接
标题
Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features
作者
关键词
-
出版物
MOLECULES
Volume 23, Issue 4, Pages 823
出版商
MDPI AG
发表日期
2018-04-04
DOI
10.3390/molecules23040823
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。- iDNA6mA-PseKNC: Identifying DNA N 6 -methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC
- (2018) Pengmian Feng et al. GENOMICS
- DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest
- (2017) Balachandran Manavalan et al. Oncotarget
- MLACP: machine-learning-based prediction of anticancer peptides
- (2017) Balachandran Manavalan et al. Oncotarget
- Application of unsupervised analysis techniques to lung cancer patient data
- (2017) Chip M. Lynch et al. PLoS One
- Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition
- (2016) Yu-An Huang et al. BMC Systems Biology
- Effect of hydrophobicity on protein–protein interactions
- (2015) P. Chanphai et al. EUROPEAN POLYMER JOURNAL
- BOOGIE: Predicting Blood Groups from High Throughput Sequencing Data
- (2015) Manuel Giollo et al. PLoS One
- A MapReduce based parallel SVM for large-scale predicting protein–protein interactions
- (2014) Zhu-Hong You et al. NEUROCOMPUTING
- Random Forest-Based Protein Model Quality Assessment (RFMQA) Using Structural Features and Potential Energy Terms
- (2014) Balachandran Manavalan et al. PLoS One
- An Empirical Study of Different Approaches for Protein Classification
- (2014) Loris Nanni et al. TheScientificWorldJOURNAL
- RUBI: rapid proteomic-scale prediction of lysine ubiquitination and factors influencing predictor performance
- (2013) Ian Walsh et al. AMINO ACIDS
- iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition
- (2013) Peng-Mian Feng et al. ANALYTICAL BIOCHEMISTRY
- A computational tool to predict the evolutionarily conserved protein-protein interaction hot-spot residues from the structure of the unbound protein
- (2013) Neeraj J. Agrawal et al. FEBS LETTERS
- PPIevo : Protein–protein interaction prediction from PSSM based evolutionary information
- (2013) Javad Zahiri et al. GENOMICS
- Wavelet images and Chou’s pseudo amino acid composition for protein classification
- (2011) Loris Nanni et al. AMINO ACIDS
- Prediction of protein–protein interaction sites using patch-based residue characterization
- (2011) Zhijun Qiu et al. JOURNAL OF THEORETICAL BIOLOGY
- Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors
- (2010) Lei Yang et al. PROTEIN AND PEPTIDE LETTERS
- Predicting protein–protein interactions from sequence using correlation coefficient and high-quality interaction dataset
- (2009) Ming-Guang Shi et al. AMINO ACIDS
- Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- (2008) Yanzhi Guo et al. NUCLEIC ACIDS RESEARCH
- Predicting Protein Subcellular Location Using Chous Pseudo Amino Acid Composition and Improved Hybrid Approach
- (2008) Feng-Min Li et al. PROTEIN AND PEPTIDE LETTERS
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