The following pages link to iLoc-Hum (Q34225):
Displaying 36 items.
- Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning (Q292748) (← links)
- Elman RNN based classification of proteins sequences on account of their mutual information (Q293734) (← links)
- Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure (Q293785) (← links)
- Comprehensive comparative analysis and identification of RNA-binding protein domains: multi-class classification and feature selection (Q293789) (← links)
- Predicting Golgi-resident protein types using pseudo amino acid compositions: approaches with positional specific physicochemical properties (Q304850) (← links)
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach (Q305612) (← links)
- Naïve Bayes classifier with feature selection to identify phage virion proteins (Q382613) (← links)
- Prediction of Golgi-resident protein types using general form of Chou's pseudo-amino acid compositions: approaches with minimal redundancy maximal relevance feature selection (Q738670) (← links)
- mLASSO-Hum: a LASSO-based interpretable human-protein subcellular localization predictor (Q739351) (← links)
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
- RBSURFpred: modeling protein accessible surface area in real and binary space using regularized and optimized regression (Q1635544) (← links)
- Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach (Q1664426) (← links)
- iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences (Q1714298) (← links)
- Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC (Q1714327) (← links)
- Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (Q1714359) (← links)
- Predicting promoters by pseudo-trinucleotide compositions based on discrete wavelets transform (Q1715130) (← links)
- Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC (Q1717296) (← links)
- Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach (Q1717326) (← links)
- SPrenylC-PseAAC: a sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins (Q1734238) (← links)
- Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC (Q1752399) (← links)
- Predicting mycobacterial proteins subcellular locations by incorporating pseudo-average chemical shift into the general form of Chou's pseudo amino acid composition (Q1784371) (← links)
- Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions (Q1790746) (← links)
- Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition (Q1790807) (← links)
- Analysis of codon use features of stearoyl-acyl carrier protein desaturase gene in \textit{Camellia sinensis} (Q1790816) (← links)
- Interrogating noise in protein sequences from the perspective of protein-protein interactions prediction (Q1790876) (← links)
- Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine (Q2351316) (← links)
- Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping (Q2415541) (← links)
- Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology (Q2415583) (← links)
- Human proteins characterization with subcellular localizations (Q2415647) (← links)
- A new technique for generating pathogenic barcodes in breast cancer susceptibility analysis (Q2415748) (← links)
- Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC (Q2419821) (← links)
- Predicting Gram-positive bacterial protein subcellular localization based on localization motifs (Q2632058) (← links)
- Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers (Q2632131) (← links)
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints (Q2632182) (← links)
- Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images (Q2632347) (← links)
- A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC (Q2632571) (← links)
