Pages that link to "Item:Q1712667"
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The following pages link to Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC (Q1712667):
Displaying 10 items.
- Detrended cross-correlation coefficient: application to predict apoptosis protein subcellular localization (Q343065) (← links)
- A novel representation for apoptosis protein subcellular localization prediction using support vector machine (Q1624357) (← links)
- pSSbond-PseAAC: prediction of disulfide bonding sites by integration of PseAAC and statistical moments (Q1717058) (← 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)
- Prediction of protein subcellular localization with oversampling approach and Chou's general PseAAC (Q1752399) (← links)
- Prediction of apoptosis protein subcellular location using improved hybrid approach and pseudo-amino acid composition (Q2211606) (← links)
- Prediction of subcellular location of apoptosis proteins combining tri-Gram encoding based on PSSM and recursive feature elimination (Q2415728) (← links)
- Corrigendum to ``Multi-kernel transfer learning based on Chou's pseaac formulation for protein submitochondria localization'' (Q2632221) (← links)
- Markov mean properties for cell death-related protein classification (Q2632745) (← links)
- Wavelet transform for predicting apoptosis proteins subcellular location (Q3017376) (← links)
