Additional file 1 of Power analysis for RNA-Seq differential expression studies
Creators: name: Lianbo Yu
name: Fernandez, Soledad
name: Brock, Guy
Publisher: name: Figshare
Year: 2017
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Physiology
subject: Evolutionary Biology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: FOS: Mathematics
subject: Developmental Biology
subject: Statistics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: FOS: Health sciences
subject: 60506 Virology

description: This file provides all supplementary figures referenced in results section. Figure S1. Power plot at μ=100 for the LRT with equal dispersion parameters. Figure S2. Power plot at γ=2 for the LRT with equal dispersion parameters. Figure S3. Critival values plot for both Wald test and LRT with equal dispersion parameters at α=0.01. Figure S4. False positive error rate plot for both Wald test and LRT with equal dispersion parameters at α=0.01. Figure S5. Power plot at μ=100 for the Wald test with equal dispersion parameters at α=0.01. Figure S6. Power plot at μ=100 for the LRT with equal dispersion parameters at α=0.01. Figure S7. Power plot at γ=2 for the Wald test with equal dispersion parameters at α=0.01. Figure S8. Power plot at γ=2 for the LRT with equal dispersion parameters at α=0.01. Figure S9. Critival values plot for both Wald test and LRT with equal dispersion parameters assuming the high dependency functional form. Figure S10. False positive error rate plot for both Wald test and LRT with equal dispersion parameters assuming the high dependency functional form. Figure S11. Power plot at μ=100 for the Wald test with equal dispersion parameters assuming the high dependency functional form. Figure S12. Power plot at μ=100 for the LRT with equal dispersion parameters assuming the high dependency functional form. Figure S13. Power plot at γ=2 for the Wald test with equal dispersion parameters assuming the high dependency functional form. Figure S14. Power plot at γ=2 for the LRT with equal dispersion parameters assuming the high dependency functional form. Figure S15. Critival values plot for both Wald test and LRT with equal dispersion parameters assuming the low dependency functional form. Figure S16. False positive error rate plot for both Wald test and LRT with equal dispersion parameters assuming the low dependency functional form. Figure S17. Power plot at μ=100 for the Wald test with equal dispersion parameters assuming the low dependency functional form. Figure S18. Power plot at μ=100 for the LRT with equal dispersion parameters assuming the low dependency functional form. Figure S19. Power plot at γ=2 for the Wald test with equal dispersion parameters assuming the low dependency functional form. Figure S20. Power plot at γ=2 for the LRT with equal dispersion parameters assuming the low dependency functional form. Figure S21. QQ plot of null Wald statistics with unequal dispersion parameters. Figure S22. QQ plot of null LRT statistics with unequal dispersion parameters. Figure S23. Power plot at μ=20 for the LRT with unequal dispersion parameters. Figure S24. Power plot at γ=2 for the LRT with unequal dispersion parameters. Figure S25. Critival values plot for both Wald test and LRT with unequal dispersion parameters at α=0.01. Figure S26. False positive error rate plot for both Wald test and LRT with unequal dispersion parameters at α=0.01. Figure S27. Power plot at μ=20 for the Wald test with unequal dispersion parameters at α=0.01. Figure S28. Power plot at μ=20 for the LRT with unequal dispersion parameters at α=0.01. Figure S29. Power plot at γ=2 for the Wald test with unequal dispersion parameters at α=0.01. Figure S30. Power plot at γ=2 for the LRT with unequal dispersion parameters at α=0.01. Figure S31. Critival values plot for both Wald test and LRT with unequal dispersion parameters assuming the high dependency functional form. Figure S32. False positive error rate plot for both Wald test and LRT with unequal dispersion parameters assuming the high dependency functional form. Figure S33. Power plot at μ=20 for the Wald test with unequal dispersion parameters assuming the high dependency functional form. Figure S34. Power plot at μ=20 for the LRT with unequal dispersion parameters assuming the high dependency functional form. Figure S35. Power plot at γ=2 for the Wald test with unequal dispersion parameters assuming the high dependency functional form. Figure S36. Power plot at γ=2 for the LRT with unequal dispersion parameters assuming the high dependency functional form. Figure S37. Critival values plot for both Wald test and LRT with unequal dispersion parameters assuming the low dependency functional form. Figure S38: False positive error rate plot for both Wald test and LRT with unequal dispersion parameters assuming the low dependency functional form. Figure S39. Power plot at μ=20 for the Wald test with unequal dispersion parameters assuming the low dependency functional form. Figure S40. Power plot at μ=20 for the LRT with unequal dispersion parameters assuming the low dependency functional form. Figure S41. Power plot at γ=2 for the Wald test with unequal dispersion parameters assuming the low dependency functional form. Figure S42. Power plot at γ=2 for the LRT with unequal dispersion parameters assuming the low dependency functional form. Figure S43. Mean-dispersion functional form of TCGA breast cancer data set. Figure S44. False positive error rate plot for both Wald test and LRT with equal dispersion parameters. Figure S45. False positive error rate plot for both Wald test and LRT with unequal dispersion parameters. (PDF 355 kb)