The following pages link to iEnhancer-2L (Q30662):
Displaying 21 items.
- pSuc-Lys: predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach (Q305612) (← links)
- An estimator for local analysis of genome based on the minimal absent word (Q306587) (← 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)
- Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition (Q1642606) (← links)
- Characterization of BioPlex network by topological properties (Q1664450) (← links)
- Prediction of metastasis in advanced colorectal carcinomas using CGH data (Q1704333) (← links)
- Prediction of S-sulfenylation sites using mRMR feature selection and fuzzy support vector machine algorithm (Q1712633) (← links)
- BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC (Q1712641) (← links)
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835) (← links)
- Identify Gram-negative bacterial secreted protein types by incorporating different modes of PSSM into Chou's general PseAAC via Kullback-Leibler divergence (Q1714132) (← links)
- Large-scale frequent stem pattern mining in RNA families (Q1714283) (← 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)
- Effective DNA binding protein prediction by using key features via Chou's general PseAAC (Q1716796) (← links)
- iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822) (← links)
- pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments (Q1717058) (← links)
- MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components (Q1717066) (← links)
- Analysis and prediction of animal toxins by various Chou's pseudo components and reduced amino acid compositions (Q1717294) (← 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)
- The preliminary efficacy evaluation of the CTLA-4-ig treatment against lupus nephritis through \textit{in-silico} analyses (Q2415808) (← links)
