Plant and Animal sub cellular component localization prediction using multiple combination of various machine learning approaches

Autor:	P V Ashik, B J Bipin Nair
Rok vydání:	2018
Předmět:	Environmental Engineering Hardware and Architecture Computer science business.industry General Chemical Engineering General Engineering Computer Science (miscellaneous) Artificial intelligence business Machine learning computer.software_genre computer Biotechnology
Zdroj:	International Journal of Engineering & Technology. 7:221
ISSN:	2227-524X
DOI:	10.14419/ijet.v7i1.9.9828
Popis:	Membrane proteins are encoded in the genome and functionally important in the living organisms. Information on subcellular localization of cellular proteins has a significant role in the function of cell organelles. Discovery of drug target and system biology between localization and biological function are highly correlated. Therefore, we are predicting the localization of protein using various machine learning approaches. The prediction system based on the integration of the outcome of five sequence based sub-classifiers. The subcellular localization prediction of the final result is based on protein profile vector, which is a result of the sub-classifiers.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff6f26d34c9fd3cd1bc381bfb4477e23 https://doi.org/10.14419/ijet.v7i1.9.9828 Zobrazit plný text záznamu