A Dynamic Time Warping Approach for Handling Class Imbalanced Medical Datasets with Missing Values: A Case Study of Protein Localization Site Prediction

2021 ◽  
pp. 116437
Author(s):  
Ling-Chien Hung ◽  
Ya-Han Hu ◽  
Chih-Fong Tsai ◽  
Min-Wei Huang
Keyword(s):  
Dynamic Time Warping ◽  
Missing Values ◽  
Protein Localization ◽  
Time Warping ◽  
Site Prediction ◽  
Dynamic Time

scholarly journals Sequoia: An interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets

2019 ◽  
Author(s):  
Ratanond Koonchanok ◽  
Swapna Vidhur Daulatabad ◽  
Quoseena Mir ◽  
Khairi Reda ◽  
Sarath Chandra Janga
Keyword(s):  
Visual Analytics ◽  
Dynamic Time Warping ◽  
Visualization Tool ◽  
Web Interface ◽  
Time Warping ◽  
Front End ◽  
Oxford Nanopore ◽  
Dynamic Time ◽  
Oxford Nanopore Technologies

AbstractSequoia is a visualization tool that allows biologists to explore characteristics of signals generated by the Oxford Nanopore Technologies (ONT) in detail. From Fast5 files generated by ONT, the tool displays relative similarities between signals using the dynamic time warping and the t-SNE algorithms. Raw signals can be visualized through mouse actions while particular signals of interest can also be exported as a CSV file for further analysis. Sequoia consists of two major components: the command-line back-end that performs necessary computations using Python and the front-end that displays the visualization through a web interface. Two datasets are used to conduct a case study in order to illustrate the usability of the tool.

Multichannel sparse spike deconvolution based on dynamic time warping

2021 ◽  
Author(s):  
Xiaowei Zhao ◽  
Shangxu Wang ◽  
Sanyi Yuan ◽  
Liang Cheng ◽  
Youjun Cai
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Dynamic Time
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