t-test: p=0.579853
Neutral set average density: 2.99929e-05
Different set average density: 2.11312e-05
motif_present gene_set absent present different 985 9 neutral 1944 9
Fisher's exact test: p=0.208891
Binomial GLM: p=0.150642
Call: glm(formula = motif_present ~ different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -0.1349 -0.1349 -0.0961 -0.0961 3.2802 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -5.3753 0.3341 -16.089 <2e-16 *** differentTRUE 0.6799 0.4730 1.437 0.151 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 219.42 on 2946 degrees of freedom Residual deviance: 217.40 on 2945 degrees of freedom AIC: 221.4 Number of Fisher Scoring iterations: 8
Binomial GLM adjusted for length: p=0.558828
Call: glm(formula = motif_present ~ length + different, family = binomial, data = daf) Deviance Residuals: Min 1Q Median 3Q Max -0.4271 -0.1148 -0.0902 -0.0775 3.4578 Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -6.1000056 0.4441205 -13.735 < 2e-16 *** length 0.0029580 0.0009155 3.231 0.00123 ** differentTRUE 0.2876031 0.4919798 0.585 0.55883 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 219.42 on 2946 degrees of freedom Residual deviance: 208.78 on 2944 degrees of freedom AIC: 214.78 Number of Fisher Scoring iterations: 8