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

From: Machine learning for discovering missing or wrong protein function annotations

#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