2016
DOI: 10.1007/s13721-016-0144-3
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Complex detection from PPI data using ensemble method

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“…bagging, boosting or random forests, see Chapter 11 of Volume 1) has been particularly studied in this context [Yang et al, 2010]. It has been applied to various problems and showed interesting results each time, either for gene or protein expression data [Liu et al, 2010;Piao et al, 2012;Wu et al, 2003;Gertheiss and Tutz, 2009], the prediction of regulatory elements [Gordon et al, 2005;Wang et al, 2009;Lihu and Holban, 2015] and a large range of other applications such as the analysis of interaction data [Nagi et al, 2017], protein structure prediction [Bouziane et al, 2015] or automatic function annotation [Schietgat et al, 2010;Galiez et al, 2016;Yang et al, 2016a;Smitha and Reddy, 2016].…”
Section: A Major Application Field For Artificial Intelligencementioning
confidence: 99%
“…bagging, boosting or random forests, see Chapter 11 of Volume 1) has been particularly studied in this context [Yang et al, 2010]. It has been applied to various problems and showed interesting results each time, either for gene or protein expression data [Liu et al, 2010;Piao et al, 2012;Wu et al, 2003;Gertheiss and Tutz, 2009], the prediction of regulatory elements [Gordon et al, 2005;Wang et al, 2009;Lihu and Holban, 2015] and a large range of other applications such as the analysis of interaction data [Nagi et al, 2017], protein structure prediction [Bouziane et al, 2015] or automatic function annotation [Schietgat et al, 2010;Galiez et al, 2016;Yang et al, 2016a;Smitha and Reddy, 2016].…”
Section: A Major Application Field For Artificial Intelligencementioning
confidence: 99%