iLoc-Gpos

swMATH22418MaRDI QIDQ34210

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Related Items (18)

Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning ⋮ Elman RNN based classification of proteins sequences on account of their mutual information ⋮ Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure ⋮ VR-BFDT: a variance reduction based binary fuzzy decision tree induction method for protein function prediction ⋮ Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties ⋮ iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints ⋮ Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images ⋮ Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping ⋮ Human proteins characterization with subcellular localizations ⋮ Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC ⋮ iPHLoc-ES: identification of bacteriophage protein locations using evolutionary and structural features ⋮ Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC ⋮ Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition ⋮ RFCRYS: sequence-based protein crystallization propensity prediction by means of random forest ⋮ Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions ⋮ Interrogating noise in protein sequences from the perspective of protein-protein interactions prediction ⋮ Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection ⋮ mLASSO-Hum: a LASSO-based interpretable human-protein subcellular localization predictor

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