Building and Interpreting Artificial Neural Network Models for Biological Systems

Autor:	T Murlidharan, Nair
Rok vydání:	2020
Předmět:	Humans Neural Networks Computer Models Biological
Zdroj:	Methods in molecular biology (Clifton, N.J.). 2190
ISSN:	1940-6029
Popis:	Biology has become a data driven science largely due to the technological advances that have generated large volumes of data. To extract meaningful information from these data sets requires the use of sophisticated modeling approaches. Toward that, artificial neural network (ANN) based modeling is increasingly playing a very important role. The "black box" nature of ANNs acts as a barrier in providing biological interpretation of the model. Here, the basic steps toward building models for biological systems and interpreting them using calliper randomization approach to capture complex information are described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=pmid________::c10e1c2f4fa82afcb1b9e7462e9aa4d6 https://pubmed.ncbi.nlm.nih.gov/32804366 Zobrazit plný text záznamu