We set cut off limits at p < 0.05 and absolute fold change ≥1.5.
Training set cut off years were chosen for each breed, using a number of criteria.
Multivariate analysis was then performed and variables considered were those which had a conservatively set cut off p-value of <0.3 on bivariate analysis.
First, setting cut-offs for determining smaller and larger classrooms is not discussed or justified.
The purpose of this paper is to outline an approach for setting cut-offs on techniques designed to identify the presence of negative response bias.
Dr. Kane also provided expertise in setting cut-off values and final formatting of the manuscript.
This selection mechanism is useful for setting cut-off values at which the differential expression can be considered significant.
Setting cut-off value of funSim as 0.5 is reliable to distinguish the functionally related pathway pairs.
For example, the V$AHRHIF_Q6 motif for HSA is 5/5/29, indicating that the numbers of V$AHRHIF_Q6 motifs identified within the promoter region of the VEGF gene of HSA are 5, 5, and 29 by setting cut-off values of 0.85, 0.80, and 0.75, respectively.
For example, the V$AHRHIF_Q6 for HSA is 5/5/29, which represents the total number of V$AHRHIF_Q6 motifs that can be identified within the promoter region of the Homo sapiens VEGF gene by setting cut-off values at 0.85, 0.80, and 0.75.
For example, the V$AHRHIF_Q6 for the first DTR gene (ENSDARG00000034700) is 3/3/21 which represents the total number of V$AHRHIF_Q6 motifs can be identified within the promoter region (2,000 base pairs) of the Danio rerio VEGF gene by setting cut-off values of 0.85, 0.80, and 0.75.
