Jul 24, 2019 · In this work, a novel computational method was proposed for accelerating SIPs validation only using protein sequence. Firstly, the protein ...
The empirical test reveal that the proposed method can efficiently extracts salient features from protein sequences and accurately predict potential SIPs.
Self-interacting proteins (SIPs) play a crucial role in investigation of various biochemical developments. In this work, a novel computational method was ...
Dec 1, 2022 · Shi et al. [16] proposed an efficient computational model based on protein sequences to predict PPIs by integrating correlation coefficient ...
Missing: Probability | Show results with:Probability
A novel computational approach called RVMBIGP that combines the Relevance Vector Machine (RVM) model and Bi-gram probability (BIGP) to predict SIPs based on ...
Oct 3, 2016 · In this study, we propose a novel computational method for predicting SIPs from protein amino acids sequence. Firstly, a novel feature ...
May 23, 2018 · Shi et al. ... presented a method that combined SVM with CC (Correlation Coefficient) transformation. These methods usually consider certain ...
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins ... Sparse Representation Model Combined ...
Mar 29, 2021 · We developed a new baseline hybrid approach that turns out to be extremely competitive: for any already-trained evolutionary density model, use ...
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins ... Predicting Self-interacting Proteins.