Machine learning for discovering missing or wrong protein function annotations

BMC Bioinformatics

Table 1 Review on HMC studies which used FunCat and GO datasets

#Year	#Method	#Approach	#Hierarchy
2019	Genetic algorithms [4]	Global	FunCat
2018	Neural networks [5]	Local	FunCat and GO
2018	Neural networks [6]	Global	FunCat and GO
2018	Neural networks [7]	Local	GO
2018	Neural networks and genetic Algorithms [25]	Global	FunCat and GO
2017	Partial least squares [8]	Global	FunCat and GO
2017	Support vector machines [9]	Local	GO
2017	Ant colony optimization [10]	Global	FunCat and GO
2017	K-Nearest Neighbours [26]	Global	GO
2016	Various [11]	Local	FunCat and GO
2016	Neural networks [3]	Local	FunCat
2016	Predictive clustering trees [27]	Global	FunCat and GO
2015	Bayesian optimization [12]	Local	FunCat and GO
2015	Decision trees [13]	Global	FunCat and GO
2015	Neural networks [14]	Local	GO
2014	Genetic algorithm [15]	Global	GO
2014	Naive Bayes [16]	Local	FunCat and GO
2012	Various [28]	Local	FunCat and GO
2013	Centroid based classification [17]	Global	FunCat and GO
2013	Predictive clustering trees [18]	Global	FunCat and GO
2013	Grammatical evolution [29]	Global	FunCat and GO
2012	Genetic algorithms [19]	Global	FunCat
2011	Various [30]	Local	FunCat
2012	Neural network [31]	Global	GO
2011	Bayesian optimization [20]	Local	FunCat and GO
2011	Neural network [30]	Local	FunCat
2011	Predictive clustering trees [21]	Global	FunCat and GO
2010	Artificial ant colony [22]	Global	FunCat and GO
2010	Support vector machines [32]	Local	FunCat
2008	Predictive clustering trees [2]	Global and local	FunCat and GO

ISSN: 1471-2105