Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
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Publication:738670
DOI10.1016/J.JTBI.2016.04.032zbMath1343.92378OpenAlexW2346037103WikidataQ50651129 ScholiaQ50651129MaRDI QIDQ738670
Publication date: 5 September 2016
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.04.032
Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20) Software, source code, etc. for problems pertaining to biology (92-04)
Related Items (3)
Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization ⋮ Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions ⋮ MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
Uses Software
- LIBSVM
- Cell-PLoc
- PseAAC
- PredLactamase
- Nuc-ploc
- repDNA
- PseKNC-General
- iNuc-PseKNC
- pSuc-Lys
- repRNA
- PSI-BLAST
- BLAST
- iEnhancer-2L
- propy
- PseAAC-Builder
- Pse-in-One
- iPPI-Esml
- iDrug-Target
- iAMP-2L
- iLoc-Virus
- iLoc-Gpos
- iLoc-Plant
- Euk-PLoc
- Virus-ploc
- Prnam-PC
- iDNA-Methyl
- PseDNA-Pro
- iMiRNA-PseDPC
- iDHS-EL
- iLoc-Animal
- iPPBS-Opt
- iSuc-PseOpt
- PseAAC-General
- SubChlo
- SubMito-PSPCP
- iLoc-Hum
- iLoc-Euk
- Plant-mPLoc
- PseKNC
- iRSpot-PseDNC
- iACP
- AAindex
Cites Work
- Unnamed Item
- Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition
- SubChlo: predicting protein subchloroplast locations with pseudo-amino acid composition and the evidence-theoretic \(K\)-nearest neighbor (ET-KNN) algorithm
- Some remarks on protein attribute prediction and pseudo amino acid composition
- \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
- Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
- Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC
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