Jan 10, 2020 · Thus, in this paper, we present a method to predict PPIs using protein sequences. First, protein sequences are transformed into Position Weight ...
Thus, in this paper, we present a method to predict PPIs using protein sequences. First, protein sequences are transformed into Position Weight Matrix (PWM), in ...
Jul 6, 2018 · In this paper, a novel computational method based on SIFT algorithm and WELM is proposed to predict protein-protein interactions, which helps to ...
This paper presents a method to predict PPIs using protein sequences using Scale-Invariant Feature Transform algorithm and Weighted Extreme Learning Machine ...
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Thus, in this paper, we present a method to predict PPIs using protein sequences. First, protein sequences are transformed into Position Weight Matrix (PWM), in ...
Thus, in this paper, we present a method to predict PPIs using protein sequences. First, protein sequences are transformed into Position Weight Matrix (PWM), in ...
Bibliographic details on Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions ...
Using Weighted Extreme Learning Machine Combined With Scale ...
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Bibliographic details on Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions ...
Oct 12, 2021 · Li et al proposed an approach to predict PPIs only using sequence information. They converted sequences into Position Weight Matrix (PWM) and ...
Results In the paper, we proposed a novel computational method called WELM-SURF based on drug fingerprints and protein evolutionary information for identifying ...