Analysis code for:
Ector C, Schmal C, Didier J, De Landtsheer S, Finger AM, Müller-Marquardt F, Schulte JH, Sauter T, Keilholz U, Herzel H, Kramer A, Granada AE. Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping. Nature Communications 2024;15:7205. DOI: 10.1038/s41467-024-51611-3
Code is organised by figure panels:
| Folder | Figures |
|---|---|
Fig2_FigS1_Circadian_Code |
Figure 2, S1 — circadian characterisation |
Fig3_FigS3_FigS4_DrugSensitivity_Code |
Figure 3, S3–S4 — dose-response analysis |
Fig4_FigS4_FigS7_ToD_Code |
Figure 4, S4, S7 — time-of-day drug response |
Fig5_FigS5_Determinants_Code |
Figure 5, S5 — determinants of time-of-day sensitivity |
Fig6_FigS6_LDA_PCA_Code |
Figure 6, S6 — LDA/PCA classification |
Input and output data files are available on Figshare: https://figshare.com/projects/Time-of-Day-Drug-Response/180916
- MATLAB 2021b or later (Statistics and Machine Learning Toolbox, Bioinformatics Toolbox)
- Python 3.8 or later:
numpy,scipy,pandas,matplotlib,seaborn,pyboat
MIT — see LICENSE. This code was developed by members and collaborators of the Granada Lab research group. For authorship and correspondence, please refer to the publication above.