Dec 15, 2016 · In this paper, we developed a powerful siRNA activity predictor by fusing multiple potential features. Our experimental results demonstrate that ...
Jan 24, 2017 · In this paper, we developed and evaluated a powerful tool named “siRNApred” with a new mixed feature set to predict siRNA activity.
Utilizing Selected Di‐ and Trinucleotides of siRNA to Predict ...
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Jan 24, 2017 · In this paper, we developed and evaluated a powerful tool named “siRNApred” with a new mixed feature set to predict siRNA activity.
A Random Forest siRNA activity prediction model was constructed using the feature set selected by our proposed Binary Search Feature Selection (BSFS) algorithm.
In this paper, we developed and evaluated a powerful tool named “siRNApred” with a new mixed feature set to predict siRNA activity. To improve the prediction ...
the RNAi activity changed [26]. Thus, we consider that the di- and trinucleotides at certain positions of siRNA may correlate with its RNAi activity. In ...
May 28, 2024 · Utilizing Selected Di-and Trinucleotides of siRNA to Predict RNAi Activity. Computational and Mathematical Methods in Medicine , 2017 ...
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Sep 24, 2018 · In this paper, to further improve the prediction accuracy and facilitate gene functional studies, we developed a new powerful siRNA efficacy predictor based on ...
In this article, we demonstrate that including three-dimensional descriptors improved the discrimination between active and inactive small interfering RNAs ( ...
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This systematic review provides a comprehensive, yet succinct overview of advancements in this ML task by examining the evolution of model architectures ...