scholarly journals Modern transcriptome data processing algorithms: a review of methods and results of approbation

2021 ◽  
pp. 54-62
Author(s):  
M. V. Sprindzuk ◽  
L. P. Titov ◽  
A. P. Konchits ◽  
L. V. Mozharovskaya
Keyword(s):  
Computational Biology ◽  
Data Processing ◽  
Applied Mathematics ◽  
Transcriptome Data ◽  
Actual Problem ◽  
Transcriptomic Data ◽  
Practical Algorithms ◽  
Processing Algorithms ◽  
New Algorithms ◽  
Data Processing Algorithms

Analysis of bioinformatics data is an actual problem in modern computational biology and applied mathematics. With the development of biotechnology and tools for obtaining and processing such information, unresolved issues of the development and application of new algorithms and software have emerged.Authors propose practical algorithms and methods for processing transcriptomic data for efficient results of annotation, visualization and interpretation of bioinformatics data.

FRACTAL ANALYSIS AS A TOOL FOR AUTOMATIC DETECTION OF ARTIFACTS IN ELECTROENCEPHALOGRAM RECORDS

2021 ◽  
pp. 72-76
Author(s):  
Л.Д. Егорова ◽  
Л.А. Казаковцев
Keyword(s):  
Data Processing ◽  
Fractal Analysis ◽  
Hurst Exponent ◽  
Automatic Detection ◽  
Eeg Signal ◽  
Informative Feature ◽  
Processing Algorithms ◽  
Automatic Filtering ◽  
Intelligent Data Processing ◽  
Data Processing Algorithms

В статье обсуждается применение методов фрактального анализа для решения задачи автоматической фильтрации сигнала ЭЭГ от артефактов различной природы. Изучается возможность использования показателя Херста в качестве информативного признака для алгоритмов интеллектуальной обработки данных. The article discusses the possibility of using fractal analysis to solve the problem of automatic filtering of the EEG signal from artifacts of various nature. The possibility of using the Hurst exponent as an informative feature for intelligent data processing algorithms is investigated

Preliminary study on data processing algorithms for SOFIS

2001 ◽  
Author(s):  
Nobuyuki Uemura ◽  
Tatsuya Yokota ◽  
Hideaki Nakajima ◽  
Takafumi Sugita ◽  
Yasuhiro Sasano ◽  
...  
Keyword(s):  
Data Processing ◽  
Preliminary Study ◽  
Processing Algorithms ◽  
Data Processing Algorithms
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