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. Author manuscript; available in PMC: 2019 May 31.
Published in final edited form as: Bioinformatics. 2016 Oct 6;33(1):95–103. doi: 10.1093/bioinformatics/btw566

Table 2.

Heatmap of the inferred activity changes following training. The three study groups are in rows: Control group, COPD patients with normal BMI (COPDBMI_N) and with low BMI (COPDBMI_L). Columns represent the genes considered in our analysis, grouped by pathways or cellular function: ETC (electronic transport chain), TCA cycle (tricarboxylic acid cycle), Glycolysis, ROS (reactive-oxygen species metabolism), Transc. Reg. (transcriptional regulation), Cancer Met. (cancer metabolism), Transport, Lipid Met (lipid metabolism). Cell Cycle and Prot. Deg. (protein degradation). Adaptation to training is represented using the following code: i) red: decrease in the discrete value of the node in response to training and ii) green: increment in the discrete value of the node in response to training. In both cases, the intensity of the colors indicates: i) predicted response to training supported by between 67 and 99% of the models are highlighted with the lightest colors, ii) predictions supported by the 100% of the models are highlighted with medium intensity color and iii) darkest color indicates nodes with no adaptation to training (supported by the 100% of the models). Finally, results supported by experi-mental evidences that were integrated as constraints in our analysis, are labeled with an asterisk (*).

ETC TCA cycle Glycolysis ROS Transc. Reg. Cancer Mat. Transport Lipid Met. Cell Cycle Prot. Deg.
ros atp5d cox6a2 ndufsl ndufv 1 ndufs7 ndufb7 uqcrc1 ckmt2 cs idh2 ogdh suclgl pkm2 pdha 1 pdk4 gpd2 gpdl sod2 glrx insr mapk12 nol3 ppp2ca srekl hspb7 mcd30 crebl parpl flna akpl prkce hsp9()ab tnf tp53 rtn4ipl lin9 myb myc mll stx4 P2ry2 trakl tspo pam 16 acbd3 col4a3bp acadvl fasn gpam PParg inha acsl5 casp8 cdk4 app fastk eln ubc
Adaptation of training Control * * * * * * * * * * * * * *
COPDBMI_N * * * * *
COPDBMI_L * * * * * * * * *