Pages that link to "Item:Q1649407"

The following pages link to 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):

Displaying 19 items.

• Classification of membrane protein types using voting feature interval in combination with Chou's pseudo amino acid composition (Q739723) (← links)
• NucPosPred: predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC (Q1642583) (← links)
• BlaPred: predicting and classifying \(\beta\)-lactamase using a 3-tier prediction system via Chou's general PseAAC (Q1712641) (← links)
• pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835) (← links)
• Predicting structural classes of proteins by incorporating their global and local physicochemical and conformational properties into general Chou's PseAAC (Q1714173) (← links)
• iMethyl-STTNC: identification of N\(^6\)-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences (Q1714298) (← links)
• Analysis and prediction of ion channel inhibitors by using feature selection and Chou's general pseudo amino acid composition (Q1714359) (← links)
• iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (Q1716822) (← links)
• Fu-SulfPred: identification of protein S-sulfenylation sites by fusing forests via Chou's general PseAAC (Q1716873) (← 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)
• MFSC: multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components (Q1717066) (← links)
• Analysis and prediction of animal toxins by various Chou's pseudo components and reduced amino acid compositions (Q1717294) (← 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)
• Bi-PSSM: position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins (Q1749056) (← links)
• Prediction of membrane protein types from sequences and position-specific scoring matrices (Q2219704) (← links)
• MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM (Q2263483) (← links)
• \textit{SVM} ensemble based transfer learning for large-scale membrane proteins discrimination (Q2632350) (← 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)