Pages that link to "Item:Q1712835"

The following pages link to pLoc\_bal-mGneg: predict subcellular localization of Gram-negative bacterial proteins by quasi-balancing training dataset and general PseAAC (Q1712835):

Displaying 24 items.

• pLoc_bal-mGneg (Q40237) (← links)
• Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC (Q1712667) (← 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)
• Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins (Q1716218) (← links)
• Effective DNA binding protein prediction by using key features via Chou's general PseAAC (Q1716796) (← 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)
• 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)
• Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach (Q1717326) (← links)
• iRNA-PseKNC(2methyl): identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components (Q1721769) (← links)
• SecretP: identifying bacterial secreted proteins by fusing new features into Chou's pseudo-amino acid composition (Q1732912) (← 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)
• Dforml(KNN)-PseAAC: detecting formylation sites from protein sequences using K-nearest neighbor algorithm via Chou's 5-step rule and pseudo components (Q1739305) (← 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)
• \textbf{iLoc-Virus}: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites (Q1786031) (← links)
• Predicting S-nitrosylation proteins and sites by fusing multiple features (Q2092265) (← links)
• Feature extraction by statistical contact potentials and wavelet transform for predicting subcellular localizations in gram negative bacterial proteins (Q2413900) (← links)
• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC (Q2413930) (← links)
• The preliminary efficacy evaluation of the CTLA-4-ig treatment against lupus nephritis through \textit{in-silico} analyses (Q2415808) (← links)
• Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC (Q2419821) (← links)
• Predicting Gram-positive bacterial protein subcellular localization based on localization motifs (Q2632058) (← links)
• Multiscale modeling approach to assess the impact of antibiotic treatment for COVID-19 on MRSA transmission and alternative immunotherapy treatment options (Q6575019) (← links)