Pages that link to "Item:Q1716822"
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The following pages link to iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822):
Displaying 12 items.
- pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments (Q1717058) (← 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)
- iRNA-PseKNC(2methyl): identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components (Q1721769) (← links)
- Identifying N\(^6\)-methyladenosine sites using extreme gradient boosting system optimized by particle swarm optimizer (Q1730106) (← 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)
- Identifying anticancer peptides by using a generalized chaos game representation (Q1738032) (← links)
- Highly accurate prediction of protein self-interactions by incorporating the average block and PSSM information into the general PseAAC (Q1747718) (← links)
- Predicting essential proteins from protein-protein interactions using order statistics (Q2324923) (← links)
- A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence (Q2328425) (← links)
- The preliminary efficacy evaluation of the CTLA-4-ig treatment against lupus nephritis through \textit{in-silico} analyses (Q2415808) (← links)
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints (Q2632182) (← links)
