Structure–function inferences based on molecular modeling, sequence-based methods and biological data analysis of snake venom lectins

Toxicon ◽  
2006 ◽  
Vol 48 (6) ◽  
pp. 690-701 ◽  
Author(s):  
Paula Alvarez Abreu ◽  
Magaly Girão Albuquerque ◽  
Carlos Rangel Rodrigues ◽  
Helena Carla Castro
Keyword(s):  
Data Analysis ◽  
Molecular Modeling ◽  
Structure Function ◽  
Snake Venom ◽  
Biological Data ◽  
Biological Data Analysis

Graph Cutting in Image Processing Handling with Biological Data Analysis

2019 ◽  
pp. 203-216
Author(s):  
Mária Ždímalová ◽  
Tomáš Bohumel ◽  
Katarína Plachá-Gregorovská ◽  
Peter Weismann ◽  
Hisham El Falougy
Keyword(s):  
Image Processing ◽  
Data Analysis ◽  
Biological Data ◽  
Biological Data Analysis

Innovative Formalism for Biological Data Analysis

2018 ◽  
pp. 1814-1824
Author(s):  
Calin Ciufudean
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Medical Devices ◽  
Fuzzy Set ◽  
Biological Data ◽  
Fuzzy Operators ◽  
Biological Data Analysis ◽  
Biological Signals ◽  
Design And Manufacture ◽  
Gathering Data

Modern medical devices involves information technology (IT) based on electronic structures for data and signals sensing and gathering, data and signals transmission as well as data and signals processing in order to assist and help the medical staff to diagnose, cure and to monitors the evolution of patients. By focusing on biological signals processing we may notice that numerical processing of information delivered by sensors has a significant importance for a fair and optimum design and manufacture of modern medical devices. We consider for this approach fuzzy set as a formalism of analysis of biological signals processing and we propose to be accomplished this goal by developing fuzzy operators for filtering the noise of biological signals measurement. We exemplify this approach on neurological measurements performed with an Electro-Encephalograph (EEG).

scholarly journals A Hybrid Biological Data Analysis Approach for Students’ Learning Creative Characteristics Recognition

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 134411-134421
Author(s):  
Shih-Yeh Chen ◽  
Chin-Feng Lai ◽  
Chi-Cheng Chang
Keyword(s):  
Data Analysis ◽  
Biological Data ◽  
Analysis Approach ◽  
Biological Data Analysis

scholarly journals Review of Fry, Biological Data Analysis

1994 ◽  
Vol 67 (2) ◽  
pp. 937
Author(s):  
Michael L. Johnson
Keyword(s):  
Data Analysis ◽  
Biological Data ◽  
Biological Data Analysis
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