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Figure 1 | BMC Bioinformatics

Figure 1

From: Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments

Figure 1

Flow chart of the quadratic regression method. The gene selection and pattern classification procedure of our quadratic regression method. y ij is the expression level; x is time; β0j, β1j, and β2jare the parameters of intercept, linear effect, and quadratic effect, respectively; ε ij is the random error. Among the 9 regression patterns, FLAT stands for no statistically significant differential expression over time; LU stands for linear up; LD stands for linear down; QC stands for quadratic concave; QV stands for quadratic convex; QLCU stands for quadratic linear concave up; QLCD stands for quadratic linear concave down; QLVU stands for quadratic linear convex up; QLVD stands for quadratic linear convex down.

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