Classification of antimicrobial peptides with imbalanced datasets

2015 ◽  
Author(s):  
Francy L. Camacho ◽  
Rodrigo Torres ◽  
Raúl Ramos Pollán
Keyword(s):  
Antimicrobial Peptides ◽  
Imbalanced Datasets

scholarly journals Antimicrobial Peptides in Gut Health: A Review

2021 ◽  
Vol 8 ◽  
Author(s):  
Tao Gong ◽  
Jie Fu ◽  
Lexuan Shi ◽  
Xin Chen ◽  
Xin Zong
Keyword(s):  
Antimicrobial Peptides ◽  
High Efficiency ◽  
Mechanisms Of Action ◽  
Innate Immune ◽  
Biological Functions ◽  
Gut Health ◽  
Antitumor Effects ◽  
Damage Repair

Animal antimicrobial peptides (AMPs), known as broad-spectrum and high-efficiency antibacterial activity, are important effector molecules in innate immune system. AMPs not only have antimicrobial, antiviral and antitumor effects but also exhibit important effects in vivo, such as anti-inflammatory response, recruiting immune cells, promoting epithelial damage repair, and promoting phagocytosis of bacteria. However, research on the application of AMPs is incomplete and controversial. This review mainly introduces the classification of AMPs, biological functions, as well as the mechanisms of action, expression rules, and nutrition regulation from three perspectives, aiming to provide important information for the application of AMPs.

Behavior classification of goats using 9-axis multi sensors: The effect of imbalanced datasets on classification performance

2019 ◽  
Vol 166 ◽  
pp. 105027 ◽  
Author(s):  
Koki Sakai ◽  
Kazato Oishi ◽  
Masafumi Miwa ◽  
Hajime Kumagai ◽  
Hiroyuki Hirooka
Keyword(s):  
Classification Performance ◽  
Imbalanced Datasets

Feature selection and classification of imbalanced datasets

NeuroImage ◽  
2011 ◽  
Vol 57 (3) ◽  
pp. 1003-1014 ◽  
Author(s):  
Edouard Duchesnay ◽  
Arnaud Cachia ◽  
Nathalie Boddaert ◽  
Nadia Chabane ◽  
Jean-Franois Mangin ◽  
...  
Keyword(s):  
Feature Selection ◽  
Imbalanced Datasets
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