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Seminar on Bioinformatics
Implementation of Sliding-window-based Accelerated Asymmetric Natural Vector Algorithm and Comparison with Formula-Derivation-based
Implementation of Sliding-window-based Accelerated Asymmetric Natural Vector Algorithm and Comparison with Formula-Derivation-based
Organizer
Speaker
Time
Saturday, January 13, 2024 9:00 PM - 9:20 PM
Venue
Online
Abstract
According to previous research, asymmetric natural vector algorithm has more advantages in accuracy. However, the bottleneck of computing speed restricts its application in large-scale data. Therefore, a few months ago, we developed a fast implementation algorithm for asymmetric natural vectors based on formula derivation and numpy library. Its calculation speed can be hundreds of times higher than brute force method, but it is difficult to promote and expand. In this seminar, we will introduce a fast algorithm based on sliding window, and compare it with the formula-derivation version.
Speaker Intro
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