Pages that link to "Item:Q2187672"
From MaRDI portal
The following pages link to Identify catalytic triads of serine hydrolases by support vector machines (Q2187672):
Displaying 12 items.
- Identify five kinds of simple super-secondary structures with quadratic discriminant algorithm based on the chemical shifts (Q739232) (← links)
- Predict potential drug targets from the ion channel proteins based on SVM (Q1629111) (← links)
- Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines (Q1715345) (← links)
- Protein classification using texture descriptors extracted from the protein backbone image (Q1719801) (← links)
- SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition (Q1732912) (← 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)
- Discriminating bioluminescent proteins by incorporating average chemical shift and evolutionary information into the general form of Chou's pseudo amino acid composition (Q1790807) (← links)
- Using LogitBoost classifier to predict protein structural classes (Q2194896) (← links)
- Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition (Q2261622) (← links)
- Prediction of protein submitochondria locations based on data fusion of various features of sequences (Q2261649) (← links)
- A new hybrid fractal algorithm for predicting thermophilic nucleotide sequences (Q2263499) (← links)
- Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers (Q2632131) (← links)
