The following pages link to iAMP-2L (Q34208):
Displaying 23 items.
- 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)
- Identify five kinds of simple super-secondary structures with quadratic discriminant algorithm based on the chemical shifts (Q739232) (← links)
- Using weighted features to predict recombination hotspots in \textit{Saccharomyces cerevisiae} (Q739312) (← links)
- Prediction of protein structure classes by incorporating different protein descriptors into general Chou's pseudo amino acid composition (Q739676) (← links)
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
- 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 (Q739749) (← links)
- RBSURFpred: modeling protein accessible surface area in real and binary space using regularized and optimized regression (Q1635544) (← links)
- Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC (Q1642634) (← links)
- Prediction of metastasis in advanced colorectal carcinomas using CGH data (Q1704333) (← links)
- BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC (Q1712641) (← 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)
- 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)
- Bi-PSSM: position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins (Q1749056) (← links)
- Analysis of codon use features of stearoyl-acyl carrier protein desaturase gene in \textit{Camellia sinensis} (Q1790816) (← links)
- Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine (Q2351316) (← 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)
- Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers (Q2632131) (← links)
