R of papers published in other biological fields [21?3], and the method has been bench-marked in previous publications against supervised and unsupervised machine learning [50, 51]. The only example available in addition to that described in this paper is related to an experience carried out in radiotherapy applied to children with brain cancer [28].Fig 5. The Activation and Competition System (ACS) and AGA. ACS defined the profile below for the AGA purchase PX-478 subjects (read from left to right). In brief, the condition of AGA, i.e. normal fetal growth and pregnancy, was described by the amount of IGF-2 relative gene expression, and by IGFBP-2 and TNF- placental contents. doi:10.1371/journal.pone.0126020.gPLOS ONE | DOI:10.1371/journal.pone.0126020 July 9,21 /Data Mining of Determinants of IUGRFig 6. The Activation and Competition System (ACS) And IUGR. ACS defined the profile below for the IUGR subjects (read from left to right). In brief, the condition of IUGR, i.e. intra-uterine growth retardation, was characterized by changes in IGF-I, IGFBP-1, IGFBP-2 and IL-6 gene expression in placenta, with a minor role for total protein content. doi:10.1371/journal.pone.0126020.gThe specificity of the example provided with intrauterine growth retardation is linked to the application of algorithms to the variables and to the records. Finally, we think the following conclusions could be drawn also: i) the AutoCM Algorithm in comparison with the other algorithms known in the literature, both linear and non-linear, isTable 7. Final Prototype of appropriate for gestational age (AGA) and intrauterine growth retarted (IUGR) subjects using the activation and competition system (ACS). Variables Male Female Gest Age PRO mRNA_BP1: mRNA_BP2: mRNA_IL6: mRNA_IGFI: mRNA_IGF2: PLA_IGF2: PLATNF: PLAIL6: PLA_BP2: AGA (Cycles 1732) -0.89 1.00 1.00 -1.00 -1.00 -1.00 -1.00 -1.00 1.00 -0.98 1.00 -1.00 1.00 IUGR (Cycles 4818) -1.00 -0.93 -1.00 -0.37 1.00 1.00 1.00 1.00 1.00 -1.00 -1.00 -0.83 -1.The numbers refer to the fuzzy membership belonging to the AGA and IUGR class from -1 (minimum membership) to 1 (maximum membership). Gest Age: gestational age (week); PRO: total protein content per mg of placental tissue (g/mg); mRNA_BP1: IGF SP600125 cost Binding Protein-1 relative gene expression; mRNA_BP2: IGF Binding Protein-2 relative gene expression; mRNA_IL6: Interleukin-6 relative gene expression; mRNA_IGF1: Insulin-like growth factor-1 relative gene expression; mRNA_IGF2: Insulin-like growth factor-2 relative gene expression; PLA_IGF2: Insulin-like growth factor-2 normalized placental lysate concentration (ng/mg); PLATNF: Tumor Necrosis Factor- nor.malized placental lysate concentration (ng/mg); PLAIL6: Interleukin-6 normalized placental lysate concentration (ng/mg); PLA_BP2: IGF Binding Protein-2 normalized placental lysate concentration (ng/mg). doi:10.1371/journal.pone.0126020.tPLOS ONE | DOI:10.1371/journal.pone.0126020 July 9,22 /Data Mining of Determinants of IUGRable to cluster in the best way IUGR and AGA subjects using the biological input of a dataset; ii) the AutoCM Algorithm provides simultaneously the networks of similarities within a dataset, in which medical doctors can see: a) the similarities of each newborn with the others; b) which newborns are the prototypes of the others (the Hubs); c) which newborns are in the grey zone of disease and which are clearly IUGR or clearly AGA (position of the newborn in the networks); iii) the AutoCM Algorithm provides also the networks of t.R of papers published in other biological fields [21?3], and the method has been bench-marked in previous publications against supervised and unsupervised machine learning [50, 51]. The only example available in addition to that described in this paper is related to an experience carried out in radiotherapy applied to children with brain cancer [28].Fig 5. The Activation and Competition System (ACS) and AGA. ACS defined the profile below for the AGA subjects (read from left to right). In brief, the condition of AGA, i.e. normal fetal growth and pregnancy, was described by the amount of IGF-2 relative gene expression, and by IGFBP-2 and TNF- placental contents. doi:10.1371/journal.pone.0126020.gPLOS ONE | DOI:10.1371/journal.pone.0126020 July 9,21 /Data Mining of Determinants of IUGRFig 6. The Activation and Competition System (ACS) And IUGR. ACS defined the profile below for the IUGR subjects (read from left to right). In brief, the condition of IUGR, i.e. intra-uterine growth retardation, was characterized by changes in IGF-I, IGFBP-1, IGFBP-2 and IL-6 gene expression in placenta, with a minor role for total protein content. doi:10.1371/journal.pone.0126020.gThe specificity of the example provided with intrauterine growth retardation is linked to the application of algorithms to the variables and to the records. Finally, we think the following conclusions could be drawn also: i) the AutoCM Algorithm in comparison with the other algorithms known in the literature, both linear and non-linear, isTable 7. Final Prototype of appropriate for gestational age (AGA) and intrauterine growth retarted (IUGR) subjects using the activation and competition system (ACS). Variables Male Female Gest Age PRO mRNA_BP1: mRNA_BP2: mRNA_IL6: mRNA_IGFI: mRNA_IGF2: PLA_IGF2: PLATNF: PLAIL6: PLA_BP2: AGA (Cycles 1732) -0.89 1.00 1.00 -1.00 -1.00 -1.00 -1.00 -1.00 1.00 -0.98 1.00 -1.00 1.00 IUGR (Cycles 4818) -1.00 -0.93 -1.00 -0.37 1.00 1.00 1.00 1.00 1.00 -1.00 -1.00 -0.83 -1.The numbers refer to the fuzzy membership belonging to the AGA and IUGR class from -1 (minimum membership) to 1 (maximum membership). Gest Age: gestational age (week); PRO: total protein content per mg of placental tissue (g/mg); mRNA_BP1: IGF Binding Protein-1 relative gene expression; mRNA_BP2: IGF Binding Protein-2 relative gene expression; mRNA_IL6: Interleukin-6 relative gene expression; mRNA_IGF1: Insulin-like growth factor-1 relative gene expression; mRNA_IGF2: Insulin-like growth factor-2 relative gene expression; PLA_IGF2: Insulin-like growth factor-2 normalized placental lysate concentration (ng/mg); PLATNF: Tumor Necrosis Factor- nor.malized placental lysate concentration (ng/mg); PLAIL6: Interleukin-6 normalized placental lysate concentration (ng/mg); PLA_BP2: IGF Binding Protein-2 normalized placental lysate concentration (ng/mg). doi:10.1371/journal.pone.0126020.tPLOS ONE | DOI:10.1371/journal.pone.0126020 July 9,22 /Data Mining of Determinants of IUGRable to cluster in the best way IUGR and AGA subjects using the biological input of a dataset; ii) the AutoCM Algorithm provides simultaneously the networks of similarities within a dataset, in which medical doctors can see: a) the similarities of each newborn with the others; b) which newborns are the prototypes of the others (the Hubs); c) which newborns are in the grey zone of disease and which are clearly IUGR or clearly AGA (position of the newborn in the networks); iii) the AutoCM Algorithm provides also the networks of t.