MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
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Publication:1717066
DOI10.1016/J.JTBI.2018.12.017zbMath1406.92167OpenAlexW2904085955WikidataQ90615371 ScholiaQ90615371MaRDI QIDQ1717066
Publication date: 6 February 2019
Published in: Journal of Theoretical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.12.017
Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)
Uses Software
- Cell-PLoc
- PseAAC
- Memtype-2L
- pSuc-Lys
- Acalpred
- PSI-BLAST
- BLAST
- iEnhancer-2L
- propy
- PseAAC-Builder
- Pse-in-One
- iPPI-Esml
- iDrug-Target
- Prnam-PC
- iDNA-Methyl
- iDHS-EL
- iPPBS-Opt
- iSuc-PseOpt
- PseAAC-General
- iRSpot-PseDNC
- pSumo-CD
- iACP
- iCar-PseCp
- iHyd-PseCp
- iRNA-AI
- pLoc-mAnimal
- pLoc-mVirus
- pLoc-mEuk
- iRNA-PseColl
- iRNA-2methyl
- iRNAm5C-PseDNC
- iPreny-PseAAC
- iRSpot-EL
- iPromoter-2L
- PREvaIL
- pLoc-mGneg
- pLoc-mPlant
- MemHyb
- iRSpot-GAEnsC
- iKcr-PseEns
- Hum-PLoc
- iProt-Sub
- iRNA-PseU
- iRNA-3typeA
- pLoc-mHum
- pLoc_bal-mHum
- iDNA6mA-PseKNC
- 2L-piRNA
- iRO-3wPseKNC
- pLoc_bal-mGpos
- iRSpot-Pse6NC
- pLoc_bal-mGneg
- iLoc-lncRNA
- SMOTE
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
- Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection
- IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition
- Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
- Some remarks on protein attribute prediction and pseudo amino acid composition
- PSSM-Suc: accurately predicting succinylation using position specific scoring matrix into bigram for feature extraction
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC
- Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions
- MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
- Computational Methods of Feature Selection
- Gene selection for cancer classification using support vector machines
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