Pages that link to "Item:Q1714298"
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The following pages link to iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences (Q1714298):
Displaying 10 items.
- Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC (Q1642634) (← links)
- iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822) (← links)
- Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC (Q1716885) (← links)
- pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments (Q1717058) (← links)
- A classification-based prediction model of messenger RNA polyadenylation sites (Q1720068) (← 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)
- Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method (Q1984068) (← links)
- DeepMRMP: a new predictor for multiple types of RNA modification sites using deep learning (Q2045428) (← links)
