The following pages link to iRSpot-PseDNC (Q34229):
Displaying 15 items.
- Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology (Q2415583) (← links)
- Prediction of the determinants of thermal stability by linear discriminant analysis: the case of the glutamate dehydrogenase protein family (Q2415622) (← links)
- Human proteins characterization with subcellular localizations (Q2415647) (← links)
- An effective haplotype assembly algorithm based on hypergraph partitioning (Q2415650) (← links)
- A set of descriptors for identifying the protein-drug interaction in cellular networking (Q2415703) (← links)
- A new technique for generating pathogenic barcodes in breast cancer susceptibility analysis (Q2415748) (← links)
- Predicting protein sub-Golgi locations by combining functional domain enrichment scores with pseudo-amino acid compositions (Q2419825) (← links)
- Novel 3D bio-macromolecular bilinear descriptors for protein science: predicting protein structural classes (Q2630314) (← links)
- VR-BFDT: a variance reduction based binary fuzzy decision tree induction method for protein function prediction (Q2630322) (← links)
- Efficacy of function specific 3D-motifs in enzyme classification according to their EC-numbers (Q2632131) (← links)
- iCDI-PseFpt: identify the channel-drug interaction in cellular networking with PseAAC and molecular fingerprints (Q2632182) (← links)
- Protein subcellular localization in human and hamster cell lines: employing local ternary patterns of fluorescence microscopy images (Q2632347) (← links)
- Predicting anticancer peptides with Chou's pseudo amino acid composition and investigating their mutagenicity via ames test (Q2632389) (← links)
- Predicting DNA binding proteins using support vector machine with hybrid fractal features (Q2632482) (← links)
- A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC (Q2632571) (← links)
