An ensemble based missing value estimation in DNA microarray using artificial neural network

2016 ◽  
Author(s):  
Sujay Saha ◽  
Saikat Bandopadhyay ◽  
Anupam Ghosh ◽  
Kashi Nath Dey
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dna Microarray ◽  
Missing Value ◽  
Value Estimation ◽  
Missing Value Estimation ◽  
Artificial Neural

scholarly journals Microarray Data Classification using Artificial Neural Network

2019 ◽  
Vol 9 (1S2) ◽  
pp. 54-56
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dna Microarray ◽  
Microarray Data ◽  
Data Classification ◽  
Activation Function ◽  
Transformation Method ◽  
Cancer Classification ◽  
Dna Microarray Data ◽  
Artificial Neural

The accurate cancer classification is very important task for cancer treatment. Recently the informative genes are identified from the thousands of genes for correct cancer classification. The collection of microscopic Deoxyribo Nucleic Acid (DNA) microarray is attached in the solid surface. In this study, DNA microarray data is used for cancer classification. The system uses Artificial Neural Network (ANN) for DNA Microarray Data Classification (MDC). Initially, the preprocessing step is made by using log transformation method to remove the raw data and feature selection. These selected features are classified by using ANN. REctified Linear Unit (RELU) activation function is used as the activation function in each ANN layer. Softmax is used for classification. The performance of the system is made by using leukemia dataset. MDC system produces the classification accuracy of 91.65% by using ANN

Energy value estimation of silages for substrate in biogas plants using an artificial neural network

Energy ◽  
2020 ◽  
Vol 202 ◽  
pp. 117729 ◽  
Author(s):  
Alina Kowalczyk-Juśko ◽  
Patrycja Pochwatka ◽  
Maciej Zaborowicz ◽  
Wojciech Czekała ◽  
Jakub Mazurkiewicz ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Value ◽  
Biogas Plants ◽  
Value Estimation ◽  
Artificial Neural

scholarly journals The 'subsequent artificial neural network' (SANN) approach might bring more classificatory power to ANN-based DNA microarray analyses

2004 ◽  
Vol 20 (18) ◽  
pp. 3544-3552 ◽  
Author(s):  
R. Linder ◽  
D. Dew ◽  
H. Sudhoff ◽  
D. Theegarten ◽  
K. Remberger ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Dna Microarray ◽  
Artificial Neural ◽  
Microarray Analyses
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