PseAAC-General
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Related Items (16)
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 ⋮ fabp4 is central to eight obesity associated genes: a functional gene network-based polymorphic study ⋮ Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction ⋮ A set of descriptors for identifying the protein-drug interaction in cellular networking ⋮ Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions ⋮ iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences ⋮ MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components ⋮ An extension of fuzzy topological approach for comparison of genetic sequences ⋮ Bi-PSSM: position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins ⋮ Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection ⋮ Machine learning approaches for discrimination of extracellular matrix proteins using hybrid feature space ⋮ Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition ⋮ iLM-2L: a two-level predictor for identifying protein lysine methylation sites and their methylation degrees by incorporating K-gap amino acid pairs into Chou's general PseAAC ⋮ Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine ⋮ Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
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