The following pages link to Memtype-2L (Q28342):
Displaying 39 items.
- Alignment free comparison: similarity distribution between the DNA primary sequences based on the shortest absent word (Q285165) (← links)
- Annotating the protein-RNA interaction sites in proteins using evolutionary information and protein backbone structure (Q293785) (← links)
- Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
- Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition (Q1617497) (← links)
- Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation (Q1617743) (← links)
- Predicting DNA- and RNA-binding proteins from sequences with kernel methods (Q1620818) (← links)
- Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach (Q1624362) (← links)
- \(\gamma\)-turn types prediction in proteins using the two-stage hybrid neural discriminant model (Q1624441) (← links)
- Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates (Q1624446) (← links)
- Geometry preserving projections algorithm for predicting membrane protein types (Q1628998) (← links)
- The Burrows-Wheeler similarity distribution between biological sequences based on Burrows-Wheeler transform (Q1629110) (← links)
- A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSM (Q1631282) (← links)
- Predicting protein submitochondrial locations by incorporating the pseudo-position specific scoring matrix into the general Chou's pseudo-amino acid composition (Q1642606) (← links)
- IMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition (Q1649407) (← links)
- Some remarks on protein attribute prediction and pseudo amino acid composition (Q1670702) (← links)
- Prediction of metastasis in advanced colorectal carcinomas using CGH data (Q1704333) (← links)
- pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835) (← links)
- Predicting membrane protein types by incorporating a novel feature set into Chou's general PseAAC (Q1714327) (← links)
- Predicting membrane protein types by incorporating protein topology, domains, signal peptides, and physicochemical properties into the general form of Chou's pseudo amino acid composition (Q1715087) (← links)
- Comparative genomics study of \textit{Salmonella Typhimurium} LT2 for the identification of putative therapeutic candidates (Q1715235) (← links)
- Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses (Q1715312) (← links)
- MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components (Q1717066) (← links)
- Protein classification using texture descriptors extracted from the protein backbone image (Q1719801) (← links)
- A simple method to analyze the similarity of biological sequences based on the fuzzy theory (Q1720076) (← links)
- High performance set of PseAAC and sequence based descriptors for protein classification (Q1722782) (← links)
- Molecular modeling of BAD complex resided in a mitochondrion integrating glycolysis and apoptosis (Q1722828) (← links)
- A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets (Q1732933) (← links)
- Bi-PSSM: position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins (Q1749056) (← 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)
- Prediction protein structural classes with pseudo-amino acid composition: approximate entropy and hydrophobicity pattern (Q1788146) (← links)
- Predicting protein subchloroplast locations with both single and multiple sites via three different modes of Chou's pseudo amino acid compositions (Q1790746) (← links)
- The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition (Q1794478) (← links)
- Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition (Q2261622) (← links)
- MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM (Q2263483) (← links)
- Application of density similarities to predict membrane protein types based on pseudo-amino acid composition (Q2413825) (← links)
- NL MIND-BEST: a web server for ligands and proteins discovery -- theoretic-experimental study of proteins of \textit{Giardia lamblia} and new compounds active against \textit{Plasmodium falciparum} (Q2413852) (← links)
- Protein fold recognition by alignment of amino acid residues using kernelized dynamic time warping (Q2415541) (← links)
- Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC (Q2419821) (← 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)
